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cs/0311048
Naren Ramakrishnan
Deept Kumar, Naren Ramakrishnan, Malcolm Potts, and Richard F. Helm
Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions
null
null
null
null
cs.CE cs.AI
null
We present an unusual algorithm involving classification trees where two trees are grown in opposite directions so that they are matched at their leaves. This approach finds application in a new data mining task we formulate, called "redescription mining". A redescription is a shift-of-vocabulary, or a different way ...
[ { "version": "v1", "created": "Thu, 27 Nov 2003 18:13:38 GMT" } ]
2007-05-23T00:00:00
[ [ "Kumar", "Deept", "" ], [ "Ramakrishnan", "Naren", "" ], [ "Potts", "Malcolm", "" ], [ "Helm", "Richard F.", "" ] ]
TITLE: Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions ABSTRACT: We present an unusual algorithm involving classification trees where two trees are grown in opposite directions so that they are matched at their leaves. This approach finds application in a new data mining task we formulate, ca...
cs/0405007
Tom Fawcett
Tom Fawcett
"In vivo" spam filtering: A challenge problem for data mining
null
KDD Explorations vol.5 no.2, Dec 2003. pp.140-148
null
null
cs.AI cs.DB cs.IR
null
Spam, also known as Unsolicited Commercial Email (UCE), is the bane of email communication. Many data mining researchers have addressed the problem of detecting spam, generally by treating it as a static text classification problem. True in vivo spam filtering has characteristics that make it a rich and challenging d...
[ { "version": "v1", "created": "Tue, 4 May 2004 18:56:09 GMT" } ]
2007-05-23T00:00:00
[ [ "Fawcett", "Tom", "" ] ]
TITLE: "In vivo" spam filtering: A challenge problem for data mining ABSTRACT: Spam, also known as Unsolicited Commercial Email (UCE), is the bane of email communication. Many data mining researchers have addressed the problem of detecting spam, generally by treating it as a static text classification problem. True...
cs/0407035
Shipra Agrawal
Shipra Agrawal, Jayant R. Haritsa
A Framework for High-Accuracy Privacy-Preserving Mining
null
null
null
TR-2004-02, DSL/SERC, Indian Institute of Science
cs.DB cs.IR
null
To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of data records have been proposed recently. In this paper, we present a generalized matrix-theoretic model of random perturbation, which facilitates a systematic approach to the design of perturbation mechanis...
[ { "version": "v1", "created": "Thu, 15 Jul 2004 14:30:20 GMT" } ]
2007-05-23T00:00:00
[ [ "Agrawal", "Shipra", "" ], [ "Haritsa", "Jayant R.", "" ] ]
TITLE: A Framework for High-Accuracy Privacy-Preserving Mining ABSTRACT: To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of data records have been proposed recently. In this paper, we present a generalized matrix-theoretic model of random perturbation, whi...
cs/0410068
Zhuowei Li
Zhuowei Li and Amitabha Das
Analyzing and Improving Performance of a Class of Anomaly-based Intrusion Detectors
Submit to journal for publication
null
null
cais-tr-2004-001
cs.CR cs.AI
null
Anomaly-based intrusion detection (AID) techniques are useful for detecting novel intrusions into computing resources. One of the most successful AID detectors proposed to date is stide, which is based on analysis of system call sequences. In this paper, we present a detailed formal framework to analyze, understand a...
[ { "version": "v1", "created": "Tue, 26 Oct 2004 02:57:56 GMT" } ]
2007-05-23T00:00:00
[ [ "Li", "Zhuowei", "" ], [ "Das", "Amitabha", "" ] ]
TITLE: Analyzing and Improving Performance of a Class of Anomaly-based Intrusion Detectors ABSTRACT: Anomaly-based intrusion detection (AID) techniques are useful for detecting novel intrusions into computing resources. One of the most successful AID detectors proposed to date is stide, which is based on analysis...
cs/0411035
Zengyou He
Zengyou He, Xiaofei Xu, Shengchun Deng
A FP-Tree Based Approach for Mining All Strongly Correlated Pairs without Candidate Generation
null
null
null
TR-04-06
cs.DB cs.AI
null
Given a user-specified minimum correlation threshold and a transaction database, the problem of mining all-strong correlated pairs is to find all item pairs with Pearson's correlation coefficients above the threshold . Despite the use of upper bound based pruning technique in the Taper algorithm [1], when the number ...
[ { "version": "v1", "created": "Fri, 12 Nov 2004 12:02:17 GMT" } ]
2007-05-23T00:00:00
[ [ "He", "Zengyou", "" ], [ "Xu", "Xiaofei", "" ], [ "Deng", "Shengchun", "" ] ]
TITLE: A FP-Tree Based Approach for Mining All Strongly Correlated Pairs without Candidate Generation ABSTRACT: Given a user-specified minimum correlation threshold and a transaction database, the problem of mining all-strong correlated pairs is to find all item pairs with Pearson's correlation coefficients above...
cs/0412019
Zengyou He
Zengyou He, Xiaofei Xu, Shengchun Deng
A Link Clustering Based Approach for Clustering Categorical Data
10 pages
A poster paper in Proc. of WAIM 2004
null
null
cs.DL cs.AI
null
Categorical data clustering (CDC) and link clustering (LC) have been considered as separate research and application areas. The main focus of this paper is to investigate the commonalities between these two problems and the uses of these commonalities for the creation of new clustering algorithms for categorical data...
[ { "version": "v1", "created": "Sat, 4 Dec 2004 12:41:08 GMT" } ]
2007-05-23T00:00:00
[ [ "He", "Zengyou", "" ], [ "Xu", "Xiaofei", "" ], [ "Deng", "Shengchun", "" ] ]
TITLE: A Link Clustering Based Approach for Clustering Categorical Data ABSTRACT: Categorical data clustering (CDC) and link clustering (LC) have been considered as separate research and application areas. The main focus of this paper is to investigate the commonalities between these two problems and the uses of th...
cs/0502008
Jim Gray
Jim Gray, David T. Liu, Maria Nieto-Santisteban, Alexander S. Szalay, David DeWitt, Gerd Heber
Scientific Data Management in the Coming Decade
null
null
null
Microsoft Technical Report MSR-TR-2005-10
cs.DB cs.CE
null
This is a thought piece on data-intensive science requirements for databases and science centers. It argues that peta-scale datasets will be housed by science centers that provide substantial storage and processing for scientists who access the data via smart notebooks. Next-generation science instruments and simulat...
[ { "version": "v1", "created": "Wed, 2 Feb 2005 03:15:42 GMT" } ]
2007-05-23T00:00:00
[ [ "Gray", "Jim", "" ], [ "Liu", "David T.", "" ], [ "Nieto-Santisteban", "Maria", "" ], [ "Szalay", "Alexander S.", "" ], [ "DeWitt", "David", "" ], [ "Heber", "Gerd", "" ] ]
TITLE: Scientific Data Management in the Coming Decade ABSTRACT: This is a thought piece on data-intensive science requirements for databases and science centers. It argues that peta-scale datasets will be housed by science centers that provide substantial storage and processing for scientists who access the data v...
cs/0503081
Zengyou He
Zengyou He, Xiaofei Xu, Shengchun Deng
An Optimization Model for Outlier Detection in Categorical Data
12 pages
null
null
Tr-05-0329
cs.DB cs.AI
null
The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. Detection of such outliers is important for many applications such as fraud detection and customer migration. Most existing methods are designed for numeric data. They will encounte...
[ { "version": "v1", "created": "Tue, 29 Mar 2005 13:31:01 GMT" } ]
2007-05-23T00:00:00
[ [ "He", "Zengyou", "" ], [ "Xu", "Xiaofei", "" ], [ "Deng", "Shengchun", "" ] ]
TITLE: An Optimization Model for Outlier Detection in Categorical Data ABSTRACT: The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. Detection of such outliers is important for many applications such as fraud detection and customer...
cs/0504042
Vitaly Schetinin
V. Schetinin, J.E. Fieldsend, D. Partridge, W.J. Krzanowski, R.M. Everson, T.C. Bailey, A. Hernandez
The Bayesian Decision Tree Technique with a Sweeping Strategy
null
null
null
null
cs.AI cs.LG
null
The uncertainty of classification outcomes is of crucial importance for many safety critical applications including, for example, medical diagnostics. In such applications the uncertainty of classification can be reliably estimated within a Bayesian model averaging technique that allows the use of prior information. ...
[ { "version": "v1", "created": "Mon, 11 Apr 2005 17:45:09 GMT" } ]
2007-05-23T00:00:00
[ [ "Schetinin", "V.", "" ], [ "Fieldsend", "J. E.", "" ], [ "Partridge", "D.", "" ], [ "Krzanowski", "W. J.", "" ], [ "Everson", "R. M.", "" ], [ "Bailey", "T. C.", "" ], [ "Hernandez", "A.", "" ] ]
TITLE: The Bayesian Decision Tree Technique with a Sweeping Strategy ABSTRACT: The uncertainty of classification outcomes is of crucial importance for many safety critical applications including, for example, medical diagnostics. In such applications the uncertainty of classification can be reliably estimated withi...
cs/0504043
Vitaly Schetinin
V. Schetinin, D. Partridge, W.J. Krzanowski, R.M. Everson, J.E. Fieldsend, T.C. Bailey, and A. Hernandez
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles
IDEAL-2004
null
null
null
cs.AI cs.LG
null
In this paper we experimentally compare the classification uncertainty of the randomised Decision Tree (DT) ensemble technique and the Bayesian DT technique with a restarting strategy on a synthetic dataset as well as on some datasets commonly used in the machine learning community. For quantitative evaluation of cla...
[ { "version": "v1", "created": "Mon, 11 Apr 2005 17:53:35 GMT" } ]
2007-05-23T00:00:00
[ [ "Schetinin", "V.", "" ], [ "Partridge", "D.", "" ], [ "Krzanowski", "W. J.", "" ], [ "Everson", "R. M.", "" ], [ "Fieldsend", "J. E.", "" ], [ "Bailey", "T. C.", "" ], [ "Hernandez", "A.", "" ] ]
TITLE: Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles ABSTRACT: In this paper we experimentally compare the classification uncertainty of the randomised Decision Tree (DT) ensemble technique and the Bayesian DT technique with a restarting strategy on a sy...
cs/0504059
Vitaly Schetinin
Vitaly Schetinin
A Neural Network Decision Tree for Learning Concepts from EEG Data
null
null
null
null
cs.NE cs.AI
null
To learn the multi-class conceptions from the electroencephalogram (EEG) data we developed a neural network decision tree (DT), that performs the linear tests, and a new training algorithm. We found that the known methods fail inducting the classification models when the data are presented by the features some of the...
[ { "version": "v1", "created": "Wed, 13 Apr 2005 14:28:48 GMT" } ]
2007-05-23T00:00:00
[ [ "Schetinin", "Vitaly", "" ] ]
TITLE: A Neural Network Decision Tree for Learning Concepts from EEG Data ABSTRACT: To learn the multi-class conceptions from the electroencephalogram (EEG) data we developed a neural network decision tree (DT), that performs the linear tests, and a new training algorithm. We found that the known methods fail induc...
cs/0504065
Vitaly Schetinin
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey and Adolfo Hernandez
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data
null
null
null
null
cs.AI
null
Bayesian averaging over classification models allows the uncertainty of classification outcomes to be evaluated, which is of crucial importance for making reliable decisions in applications such as financial in which risks have to be estimated. The uncertainty of classification is determined by a trade-off between th...
[ { "version": "v1", "created": "Thu, 14 Apr 2005 10:30:54 GMT" } ]
2007-05-23T00:00:00
[ [ "Schetinin", "Vitaly", "" ], [ "Fieldsend", "Jonathan E.", "" ], [ "Partridge", "Derek", "" ], [ "Krzanowski", "Wojtek J.", "" ], [ "Everson", "Richard M.", "" ], [ "Bailey", "Trevor C.", "" ], [ "Hernandez", "...
TITLE: Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data ABSTRACT: Bayesian averaging over classification models allows the uncertainty of classification outcomes to be evaluated, which is of crucial importance for making reliable decisions in applications such as financi...
cs/0504066
Vitaly Schetinin
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, and Adolfo Hernandez
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique
null
Journal of Mathematical Modelling and Algorithms, 2005
null
null
cs.AI
null
Multiple Classifier Systems (MCSs) allow evaluation of the uncertainty of classification outcomes that is of crucial importance for safety critical applications. The uncertainty of classification is determined by a trade-off between the amount of data available for training, the classifier diversity and the required ...
[ { "version": "v1", "created": "Thu, 14 Apr 2005 10:33:33 GMT" } ]
2007-05-23T00:00:00
[ [ "Schetinin", "Vitaly", "" ], [ "Fieldsend", "Jonathan E.", "" ], [ "Partridge", "Derek", "" ], [ "Krzanowski", "Wojtek J.", "" ], [ "Everson", "Richard M.", "" ], [ "Bailey", "Trevor C.", "" ], [ "Hernandez", "...
TITLE: Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique ABSTRACT: Multiple Classifier Systems (MCSs) allow evaluation of the uncertainty of classification outcomes that is of crucial importance for safety critical applications. The uncertainty of classific...
cs/0505060
Zengyou He
Zengyou He, Xiaofei Xu, Shengchun Deng
A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces
17 pages
null
null
TR-04-08
cs.DB cs.AI
null
The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. Detection of such outliers is important for many applications such as fraud detection and customer migration. Most such applications are high dimensional domains in which the data m...
[ { "version": "v1", "created": "Tue, 24 May 2005 02:41:51 GMT" } ]
2007-05-23T00:00:00
[ [ "He", "Zengyou", "" ], [ "Xu", "Xiaofei", "" ], [ "Deng", "Shengchun", "" ] ]
TITLE: A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces ABSTRACT: The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. Detection of such outliers is important for many applications suc...
cs/0507065
Zengyou He
Zengyou He, Xiaofei Xu, Shengchun Deng
A Fast Greedy Algorithm for Outlier Mining
11 pages
null
null
Tr-05-0406
cs.DB cs.AI
null
The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. In [38], the problem of outlier detection in categorical data is defined as an optimization problem and a local-search heuristic based algorithm (LSA) is presented. However, as is t...
[ { "version": "v1", "created": "Wed, 27 Jul 2005 02:14:02 GMT" } ]
2007-05-23T00:00:00
[ [ "He", "Zengyou", "" ], [ "Xu", "Xiaofei", "" ], [ "Deng", "Shengchun", "" ] ]
TITLE: A Fast Greedy Algorithm for Outlier Mining ABSTRACT: The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. In [38], the problem of outlier detection in categorical data is defined as an optimization problem and a local-search ...
cs/0508033
Dmitri Krioukov
Priya Mahadevan, Dmitri Krioukov, Marina Fomenkov, Bradley Huffaker, Xenofontas Dimitropoulos, kc claffy, Amin Vahdat
Lessons from Three Views of the Internet Topology
null
null
null
CAIDA-TR-2005-02
cs.NI physics.soc-ph
null
Network topology plays a vital role in understanding the performance of network applications and protocols. Thus, recently there has been tremendous interest in generating realistic network topologies. Such work must begin with an understanding of existing network topologies, which today typically consists of a relat...
[ { "version": "v1", "created": "Thu, 4 Aug 2005 02:35:45 GMT" } ]
2007-05-23T00:00:00
[ [ "Mahadevan", "Priya", "" ], [ "Krioukov", "Dmitri", "" ], [ "Fomenkov", "Marina", "" ], [ "Huffaker", "Bradley", "" ], [ "Dimitropoulos", "Xenofontas", "" ], [ "claffy", "kc", "" ], [ "Vahdat", "Amin", "" ...
TITLE: Lessons from Three Views of the Internet Topology ABSTRACT: Network topology plays a vital role in understanding the performance of network applications and protocols. Thus, recently there has been tremendous interest in generating realistic network topologies. Such work must begin with an understanding of e...
cs/0509011
Zengyou He
Zengyou He, Xiaofei Xu, Shengchun Deng
Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach
14 pages
null
null
Tr-2002-10
cs.AI
null
Clustering is a widely used technique in data mining applications for discovering patterns in underlying data. Most traditional clustering algorithms are limited to handling datasets that contain either numeric or categorical attributes. However, datasets with mixed types of attributes are common in real life data mi...
[ { "version": "v1", "created": "Mon, 5 Sep 2005 02:47:12 GMT" } ]
2007-05-23T00:00:00
[ [ "He", "Zengyou", "" ], [ "Xu", "Xiaofei", "" ], [ "Deng", "Shengchun", "" ] ]
TITLE: Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach ABSTRACT: Clustering is a widely used technique in data mining applications for discovering patterns in underlying data. Most traditional clustering algorithms are limited to handling datasets that contain either numeric or categori...
cs/0509033
Zengyou He
Zengyou He, Xiaofei Xu, Shengchun Deng, Bin Dong
K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset
11 pages
null
null
Tr-2003-08
cs.AI
null
Clustering categorical data is an integral part of data mining and has attracted much attention recently. In this paper, we present k-histogram, a new efficient algorithm for clustering categorical data. The k-histogram algorithm extends the k-means algorithm to categorical domain by replacing the means of clusters w...
[ { "version": "v1", "created": "Tue, 13 Sep 2005 06:33:08 GMT" } ]
2007-05-23T00:00:00
[ [ "He", "Zengyou", "" ], [ "Xu", "Xiaofei", "" ], [ "Deng", "Shengchun", "" ], [ "Dong", "Bin", "" ] ]
TITLE: K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset ABSTRACT: Clustering categorical data is an integral part of data mining and has attracted much attention recently. In this paper, we present k-histogram, a new efficient algorithm for clustering categorical data. The k-histogram algorit...
cs/0509082
Yossi Zana
Yossi Zana, Roberto M. Cesar-JR
Face Recognition Based on Polar Frequency Features
ACM Transactions on Applied Perception
null
null
null
cs.CV
null
A novel biologically motivated face recognition algorithm based on polar frequency is presented. Polar frequency descriptors are extracted from face images by Fourier-Bessel transform (FBT). Next, the Euclidean distance between all images is computed and each image is now represented by its dissimilarity to the other...
[ { "version": "v1", "created": "Tue, 27 Sep 2005 15:50:27 GMT" } ]
2007-05-23T00:00:00
[ [ "Zana", "Yossi", "" ], [ "Cesar-JR", "Roberto M.", "" ] ]
TITLE: Face Recognition Based on Polar Frequency Features ABSTRACT: A novel biologically motivated face recognition algorithm based on polar frequency is presented. Polar frequency descriptors are extracted from face images by Fourier-Bessel transform (FBT). Next, the Euclidean distance between all images is comput...
cs/0510054
Le Zhao Mr.
Le Zhao, Min Zhang, Shaoping Ma
The Nature of Novelty Detection
This paper pointed out the future direction for novelty detection research. 37 pages, double spaced version
null
null
null
cs.IR cs.CL
null
Sentence level novelty detection aims at reducing redundant sentences from a sentence list. In the task, sentences appearing later in the list with no new meanings are eliminated. Aiming at a better accuracy for detecting redundancy, this paper reveals the nature of the novelty detection task currently overlooked by ...
[ { "version": "v1", "created": "Wed, 19 Oct 2005 14:56:48 GMT" } ]
2007-05-23T00:00:00
[ [ "Zhao", "Le", "" ], [ "Zhang", "Min", "" ], [ "Ma", "Shaoping", "" ] ]
TITLE: The Nature of Novelty Detection ABSTRACT: Sentence level novelty detection aims at reducing redundant sentences from a sentence list. In the task, sentences appearing later in the list with no new meanings are eliminated. Aiming at a better accuracy for detecting redundancy, this paper reveals the nature of ...
cs/0511013
Zengyou He
Zengyou He, Xiaofei Xu, Shengchun Deng
K-ANMI: A Mutual Information Based Clustering Algorithm for Categorical Data
18 pages
null
null
Tr-2004-03
cs.AI cs.DB
null
Clustering categorical data is an integral part of data mining and has attracted much attention recently. In this paper, we present k-ANMI, a new efficient algorithm for clustering categorical data. The k-ANMI algorithm works in a way that is similar to the popular k-means algorithm, and the goodness of clustering in...
[ { "version": "v1", "created": "Thu, 3 Nov 2005 01:18:47 GMT" } ]
2007-05-23T00:00:00
[ [ "He", "Zengyou", "" ], [ "Xu", "Xiaofei", "" ], [ "Deng", "Shengchun", "" ] ]
TITLE: K-ANMI: A Mutual Information Based Clustering Algorithm for Categorical Data ABSTRACT: Clustering categorical data is an integral part of data mining and has attracted much attention recently. In this paper, we present k-ANMI, a new efficient algorithm for clustering categorical data. The k-ANMI algorithm ...
cs/0511075
Vasant Honavar
Michael Terribilini, Jae-Hyung Lee, Changhui Yan, Robert L. Jernigan, Susan Carpenter, Vasant Honavar, Drena Dobbs
Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data
Pacific Symposium on Biocomputing, Hawaii, In press, Accepted, 2006
null
null
null
cs.LG cs.AI
null
Protein-protein and protein nucleic acid interactions are vitally important for a wide range of biological processes, including regulation of gene expression, protein synthesis, and replication and assembly of many viruses. We have developed machine learning approaches for predicting which amino acids of a protein pa...
[ { "version": "v1", "created": "Mon, 21 Nov 2005 01:47:53 GMT" } ]
2007-05-23T00:00:00
[ [ "Terribilini", "Michael", "" ], [ "Lee", "Jae-Hyung", "" ], [ "Yan", "Changhui", "" ], [ "Jernigan", "Robert L.", "" ], [ "Carpenter", "Susan", "" ], [ "Honavar", "Vasant", "" ], [ "Dobbs", "Drena", "" ] ...
TITLE: Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data ABSTRACT: Protein-protein and protein nucleic acid interactions are vitally important for a wide range of biological processes, including regula...
cs/0511106
Sergiu Chelcea
Sergiu Theodor Chelcea (INRIA Rocquencourt / INRIA Sophia Antipolis), Alzennyr Da Silva (INRIA Rocquencourt / INRIA Sophia Antipolis), Yves Lechevallier (INRIA Rocquencourt / INRIA Sophia Antipolis), Doru Tanasa (INRIA Rocquencourt / INRIA Sophia Antipolis), Brigitte Trousse (INRIA Rocquencourt / INRIA Sophia A...
Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain
null
Dans Proceedings of the ECML/PKDD2005 Discovery Challenge, A Collaborative Effort in Knowledge Discovery from Databases
null
null
cs.DB
null
This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double. First, after presenting the clickstream dataset, we show how we build a rich data warehouse based an advanced preprocesing. We...
[ { "version": "v1", "created": "Wed, 30 Nov 2005 16:12:38 GMT" } ]
2007-05-23T00:00:00
[ [ "Chelcea", "Sergiu Theodor", "", "INRIA Rocquencourt / INRIA Sophia Antipolis" ], [ "Da Silva", "Alzennyr", "", "INRIA Rocquencourt / INRIA Sophia Antipolis" ], [ "Lechevallier", "Yves", "", "INRIA Rocquencourt / INRIA Sophia Antipolis" ], [ "Tanasa"...
TITLE: Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain ABSTRACT: This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double. First, after presenting ...
cs/0512052
Ion Mandoiu
Ion I. Mandoiu and Claudia Prajescu
High-Throughput SNP Genotyping by SBE/SBH
19 pages
null
null
null
cs.DS q-bio.GN
null
Despite much progress over the past decade, current Single Nucleotide Polymorphism (SNP) genotyping technologies still offer an insufficient degree of multiplexing when required to handle user-selected sets of SNPs. In this paper we propose a new genotyping assay architecture combining multiplexed solution-phase sing...
[ { "version": "v1", "created": "Wed, 14 Dec 2005 18:01:51 GMT" } ]
2007-05-23T00:00:00
[ [ "Mandoiu", "Ion I.", "" ], [ "Prajescu", "Claudia", "" ] ]
TITLE: High-Throughput SNP Genotyping by SBE/SBH ABSTRACT: Despite much progress over the past decade, current Single Nucleotide Polymorphism (SNP) genotyping technologies still offer an insufficient degree of multiplexing when required to handle user-selected sets of SNPs. In this paper we propose a new genotyping...
cs/0602031
Wit Jakuczun
Wit Jakuczun
Classifying Signals with Local Classifiers
null
null
null
null
cs.AI
null
This paper deals with the problem of classifying signals. The new method for building so called local classifiers and local features is presented. The method is a combination of the lifting scheme and the support vector machines. Its main aim is to produce effective and yet comprehensible classifiers that would help ...
[ { "version": "v1", "created": "Wed, 8 Feb 2006 11:38:44 GMT" } ]
2007-05-23T00:00:00
[ [ "Jakuczun", "Wit", "" ] ]
TITLE: Classifying Signals with Local Classifiers ABSTRACT: This paper deals with the problem of classifying signals. The new method for building so called local classifiers and local features is presented. The method is a combination of the lifting scheme and the support vector machines. Its main aim is to produce...
cs/0603090
Alexander Gorban
A.N. Gorban, N.R. Sumner, A.Y. Zinovyev
Topological Grammars for Data Approximation
Corrected Journal version, Appl. Math. Lett., in press. 7 pgs., 2 figs
Applied Mathematics Letters 20 (2007) 382--386
10.1016/j.aml.2006.04.022
null
cs.NE cs.LG
null
A method of {\it topological grammars} is proposed for multidimensional data approximation. For data with complex topology we define a {\it principal cubic complex} of low dimension and given complexity that gives the best approximation for the dataset. This complex is a generalization of linear and non-linear princi...
[ { "version": "v1", "created": "Wed, 22 Mar 2006 22:52:23 GMT" }, { "version": "v2", "created": "Fri, 28 Jul 2006 13:41:39 GMT" } ]
2007-05-23T00:00:00
[ [ "Gorban", "A. N.", "" ], [ "Sumner", "N. R.", "" ], [ "Zinovyev", "A. Y.", "" ] ]
TITLE: Topological Grammars for Data Approximation ABSTRACT: A method of {\it topological grammars} is proposed for multidimensional data approximation. For data with complex topology we define a {\it principal cubic complex} of low dimension and given complexity that gives the best approximation for the dataset. T...
cs/0604015
Dmitri Krioukov
Xenofontas Dimitropoulos, Dmitri Krioukov, George Riley, kc claffy
Revealing the Autonomous System Taxonomy: The Machine Learning Approach
null
PAM 2006, best paper award
null
null
cs.NI cs.LG
null
Although the Internet AS-level topology has been extensively studied over the past few years, little is known about the details of the AS taxonomy. An AS "node" can represent a wide variety of organizations, e.g., large ISP, or small private business, university, with vastly different network characteristics, externa...
[ { "version": "v1", "created": "Thu, 6 Apr 2006 00:08:24 GMT" } ]
2007-05-23T00:00:00
[ [ "Dimitropoulos", "Xenofontas", "" ], [ "Krioukov", "Dmitri", "" ], [ "Riley", "George", "" ], [ "claffy", "kc", "" ] ]
TITLE: Revealing the Autonomous System Taxonomy: The Machine Learning Approach ABSTRACT: Although the Internet AS-level topology has been extensively studied over the past few years, little is known about the details of the AS taxonomy. An AS "node" can represent a wide variety of organizations, e.g., large ISP, or...
cs/0606024
Edgar Graaf de
Edgar de Graaf, Jeannette de Graaf, and Walter A. Kosters
Consecutive Support: Better Be Close!
10 pages
null
null
null
cs.AI cs.DB
null
We propose a new measure of support (the number of occur- rences of a pattern), in which instances are more important if they occur with a certain frequency and close after each other in the stream of trans- actions. We will explain this new consecutive support and discuss how patterns can be found faster by pruning ...
[ { "version": "v1", "created": "Tue, 6 Jun 2006 14:28:42 GMT" } ]
2007-05-23T00:00:00
[ [ "de Graaf", "Edgar", "" ], [ "de Graaf", "Jeannette", "" ], [ "Kosters", "Walter A.", "" ] ]
TITLE: Consecutive Support: Better Be Close! ABSTRACT: We propose a new measure of support (the number of occur- rences of a pattern), in which instances are more important if they occur with a certain frequency and close after each other in the stream of trans- actions. We will explain this new consecutive support...
cs/0701013
Zengyou He
Zengyou He, Xaiofei Xu, Shengchun Deng
Attribute Value Weighting in K-Modes Clustering
15 pages
null
null
Tr-06-0615
cs.AI
null
In this paper, the traditional k-modes clustering algorithm is extended by weighting attribute value matches in dissimilarity computation. The use of attribute value weighting technique makes it possible to generate clusters with stronger intra-similarities, and therefore achieve better clustering performance. Experi...
[ { "version": "v1", "created": "Wed, 3 Jan 2007 09:06:03 GMT" } ]
2007-05-23T00:00:00
[ [ "He", "Zengyou", "" ], [ "Xu", "Xaiofei", "" ], [ "Deng", "Shengchun", "" ] ]
TITLE: Attribute Value Weighting in K-Modes Clustering ABSTRACT: In this paper, the traditional k-modes clustering algorithm is extended by weighting attribute value matches in dissimilarity computation. The use of attribute value weighting technique makes it possible to generate clusters with stronger intra-simila...
cs/0701167
Jim Gray
Maria A. Nieto-Santisteban, Aniruddha R. Thakar, Alexander S. Szalay, Jim Gray
Large-Scale Query and XMatch, Entering the Parallel Zone
Astronomical Data Analysis Software and Systems XV in San Lorenzo de El Escorial, Madrid, Spain, October 2005, to appear in the ASP Conference Series
null
null
MSR-TR-2005- 169
cs.DB cs.CE
null
Current and future astronomical surveys are producing catalogs with millions and billions of objects. On-line access to such big datasets for data mining and cross-correlation is usually as highly desired as unfeasible. Providing these capabilities is becoming critical for the Virtual Observatory framework. In this p...
[ { "version": "v1", "created": "Fri, 26 Jan 2007 00:33:26 GMT" } ]
2007-05-23T00:00:00
[ [ "Nieto-Santisteban", "Maria A.", "" ], [ "Thakar", "Aniruddha R.", "" ], [ "Szalay", "Alexander S.", "" ], [ "Gray", "Jim", "" ] ]
TITLE: Large-Scale Query and XMatch, Entering the Parallel Zone ABSTRACT: Current and future astronomical surveys are producing catalogs with millions and billions of objects. On-line access to such big datasets for data mining and cross-correlation is usually as highly desired as unfeasible. Providing these capabi...
cs/0701171
Jim Gray
Jim Gray, Maria A. Nieto-Santisteban, Alexander S. Szalay
The Zones Algorithm for Finding Points-Near-a-Point or Cross-Matching Spatial Datasets
null
null
null
MSR TR 2006 52
cs.DB cs.DS
null
Zones index an N-dimensional Euclidian or metric space to efficiently support points-near-a-point queries either within a dataset or between two datasets. The approach uses relational algebra and the B-Tree mechanism found in almost all relational database systems. Hence, the Zones Algorithm gives a portable-relation...
[ { "version": "v1", "created": "Fri, 26 Jan 2007 05:11:20 GMT" } ]
2007-05-23T00:00:00
[ [ "Gray", "Jim", "" ], [ "Nieto-Santisteban", "Maria A.", "" ], [ "Szalay", "Alexander S.", "" ] ]
TITLE: The Zones Algorithm for Finding Points-Near-a-Point or Cross-Matching Spatial Datasets ABSTRACT: Zones index an N-dimensional Euclidian or metric space to efficiently support points-near-a-point queries either within a dataset or between two datasets. The approach uses relational algebra and the B-Tree mec...
cs/0701173
Jim Gray
Vik Singh, Jim Gray, Ani Thakar, Alexander S. Szalay, Jordan Raddick, Bill Boroski, Svetlana Lebedeva, Brian Yanny
SkyServer Traffic Report - The First Five Years
null
null
null
MSR TR-2006-190
cs.DB cs.CE
null
The SkyServer is an Internet portal to the Sloan Digital Sky Survey Catalog Archive Server. From 2001 to 2006, there were a million visitors in 3 million sessions generating 170 million Web hits, 16 million ad-hoc SQL queries, and 62 million page views. The site currently averages 35 thousand visitors and 400 thousan...
[ { "version": "v1", "created": "Fri, 26 Jan 2007 05:22:15 GMT" } ]
2007-05-23T00:00:00
[ [ "Singh", "Vik", "" ], [ "Gray", "Jim", "" ], [ "Thakar", "Ani", "" ], [ "Szalay", "Alexander S.", "" ], [ "Raddick", "Jordan", "" ], [ "Boroski", "Bill", "" ], [ "Lebedeva", "Svetlana", "" ], [ "Yan...
TITLE: SkyServer Traffic Report - The First Five Years ABSTRACT: The SkyServer is an Internet portal to the Sloan Digital Sky Survey Catalog Archive Server. From 2001 to 2006, there were a million visitors in 3 million sessions generating 170 million Web hits, 16 million ad-hoc SQL queries, and 62 million page view...
physics/0006050
Sven Bilke
Sven Bilke
Shuffling Yeast Gene Expression Data
8 pages, 2 figures. Submitted to Proceedings of the National Academy of Science USA
null
null
LU TP 00-18
physics.bio-ph physics.data-an physics.med-ph q-bio.QM
null
A new method to sort gene expression patterns into functional groups is presented. The method is based on a sorting algorithm using a non-local similarity score, which takes all other patterns in the dataset into account. The method is therefore very robust with respect to noise. Using the expression data for yeast, ...
[ { "version": "v1", "created": "Tue, 20 Jun 2000 09:55:01 GMT" } ]
2007-05-23T00:00:00
[ [ "Bilke", "Sven", "" ] ]
TITLE: Shuffling Yeast Gene Expression Data ABSTRACT: A new method to sort gene expression patterns into functional groups is presented. The method is based on a sorting algorithm using a non-local similarity score, which takes all other patterns in the dataset into account. The method is therefore very robust with...
physics/0202012
Nicola Scafetta
Nicola Scafetta, Tim Imholt, Paolo Grigolini, and Jim Roberts
Temperature reconstruction analysis
10 pages, 18 figures
null
null
null
physics.ao-ph physics.data-an
null
This paper presents a wavelet multiresolution analysis of a time series dataset to study the correlation between the real temperature data and three temperature model reconstructions at different scales. We show that the Mann et.al. model reconstructs the temperature better at all temporal resolutions. We show and di...
[ { "version": "v1", "created": "Mon, 4 Feb 2002 23:25:34 GMT" } ]
2007-05-23T00:00:00
[ [ "Scafetta", "Nicola", "" ], [ "Imholt", "Tim", "" ], [ "Grigolini", "Paolo", "" ], [ "Roberts", "Jim", "" ] ]
TITLE: Temperature reconstruction analysis ABSTRACT: This paper presents a wavelet multiresolution analysis of a time series dataset to study the correlation between the real temperature data and three temperature model reconstructions at different scales. We show that the Mann et.al. model reconstructs the tempera...
physics/0210082
Dennis J. Mikkelson
D. J. Mikkelson (1), R. L. Mikkelson (1), T. G. Worlton (2), A. Chatterjee (2), J. P. Hammonds (2), P. F. Peterson (2), A. J. Schultz (2) ((1) University of Wisconsin-Stout,(2) Argonne National Laboratory)
Coordinated, Interactive Data Visualization for Neutron Scattering Data
Talk at NOBUGS 2002 Conference, NIST, Gaithersburg MD. NOBUGS abstract identifier NOBUGS/034
null
null
NOBUGS/034
physics.data-an physics.ins-det
null
The overall design of the Integrated Spectral Analysis Workbench (ISAW), being developed at Argonne, provides for an extensible, highly interactive, collaborating set of viewers for neutron scattering data. Large arbitrary collections of spectra from multiple detectors can be viewed as an image, a scrolled list of in...
[ { "version": "v1", "created": "Sun, 20 Oct 2002 04:20:36 GMT" } ]
2007-05-23T00:00:00
[ [ "Mikkelson", "D. J.", "", "University of Wisconsin-Stout" ], [ "Mikkelson", "R. L.", "", "University of Wisconsin-Stout" ], [ "Worlton", "T. G.", "", "Argonne National Laboratory" ], [ "Chatterjee", "A.", "", "Argonne National Laboratory"...
TITLE: Coordinated, Interactive Data Visualization for Neutron Scattering Data ABSTRACT: The overall design of the Integrated Spectral Analysis Workbench (ISAW), being developed at Argonne, provides for an extensible, highly interactive, collaborating set of viewers for neutron scattering data. Large arbitrary coll...
physics/0306096
J. R. Bogart
J. Bogart
Calibration Infrastructure for the GLAST LAT
Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 5 pages, LaTeX, 2 eps figures. PSN MOKT001
null
null
SLAC-PUB-9890
physics.ins-det
null
The GLAST LAT calibration infrastructure is designed to accommodate a wide range of time-varying data types, including at a minimum hardware status bits, conversion constants, and alignment for the GLAST LAT instrument and its prototypes. The system will support persistent XML and ROOT data to begin with; other physi...
[ { "version": "v1", "created": "Thu, 12 Jun 2003 17:02:25 GMT" } ]
2007-05-23T00:00:00
[ [ "Bogart", "J.", "" ] ]
TITLE: Calibration Infrastructure for the GLAST LAT ABSTRACT: The GLAST LAT calibration infrastructure is designed to accommodate a wide range of time-varying data types, including at a minimum hardware status bits, conversion constants, and alignment for the GLAST LAT instrument and its prototypes. The system will...
physics/0311096
Leonid Petrov
Leonid Petrov, Jean-Paul Boy
Study of the atmospheric pressure loading signal in VLBI observations
accepted by the Journal of Geophysical Research
null
10.1029/2003JB002500
null
physics.geo-ph
null
Redistribution of air masses due to atmospheric circulation causes loading deformation of the Earth's crust which can be as large as 20 mm for the vertical component and 3 mm for horizontal components. Rigorous computation of site displacements caused by pressure loading requires knowledge of the surface pressure fie...
[ { "version": "v1", "created": "Wed, 19 Nov 2003 20:41:35 GMT" } ]
2007-05-23T00:00:00
[ [ "Petrov", "Leonid", "" ], [ "Boy", "Jean-Paul", "" ] ]
TITLE: Study of the atmospheric pressure loading signal in VLBI observations ABSTRACT: Redistribution of air masses due to atmospheric circulation causes loading deformation of the Earth's crust which can be as large as 20 mm for the vertical component and 3 mm for horizontal components. Rigorous computation of sit...
physics/0401117
Leonid Petrov
L. Petrov, J.-P. Boy
Atmospheric pressure loading for routine data analysis
To be published in the Proceedings of the meeting "The State of GPS Vertical Positioning Precision: Separation of Earth Processes by Space Geodesy" held in Luxembourg inApril 2003
null
null
null
physics.geo-ph
null
We have computed 3-D displacements induced by atmospheric pressure loading from 6-hourly surface pressure field from NCEP (National Center for Environmental Predictions) Reanalysis data for all Very Long Baseline Interferometry) and SLR (Satellite Laser Ranging) stations. We have quantitatively estimated the error bu...
[ { "version": "v1", "created": "Fri, 23 Jan 2004 01:15:01 GMT" } ]
2007-05-23T00:00:00
[ [ "Petrov", "L.", "" ], [ "Boy", "J. -P.", "" ] ]
TITLE: Atmospheric pressure loading for routine data analysis ABSTRACT: We have computed 3-D displacements induced by atmospheric pressure loading from 6-hourly surface pressure field from NCEP (National Center for Environmental Predictions) Reanalysis data for all Very Long Baseline Interferometry) and SLR (Satell...
physics/0408038
Valerio Lucarini
Valerio Lucarini
Towards a definition of climate science
10 pages, 2 figures
published on IJEP Vol. 18, No. 5, 413-422 (2002)
null
null
physics.ao-ph physics.data-an physics.geo-ph physics.soc-ph
null
The intrinsic difficulties in building realistic climate models and in providing complete, reliable and meaningful observational datasets, and the conceptual impossibility of testing theories against data imply that the usual Galilean scientific validation criteria do not apply to climate science. The different epist...
[ { "version": "v1", "created": "Sun, 8 Aug 2004 15:18:03 GMT" } ]
2007-05-23T00:00:00
[ [ "Lucarini", "Valerio", "" ] ]
TITLE: Towards a definition of climate science ABSTRACT: The intrinsic difficulties in building realistic climate models and in providing complete, reliable and meaningful observational datasets, and the conceptual impossibility of testing theories against data imply that the usual Galilean scientific validation cr...
physics/0412150
Valerio Lucarini
Alessandro Dell'Aquila, Valerio Lucarini, Paolo Ruti, Sandro Calmanti
Hayashi Spectra of the Northern Hemisphere Mid-latitude Atmospheric Variability in the NCEP and ERA 40 Reanalyses
30 pages, 6 figures, 2 tables
null
null
null
physics.ao-ph physics.flu-dyn physics.geo-ph
null
We compare 45 years of the reanalyses of NCEP-NCAR and ECMWF in terms of their representation of the mid-latitude winter atmospheric variability for the overlapping time frame 1957-2002. We adopt the classical approach of computing the Hayashi spectra of the 500 hPa geopotential height fields. Discrepancies are found...
[ { "version": "v1", "created": "Wed, 22 Dec 2004 21:57:28 GMT" } ]
2007-05-23T00:00:00
[ [ "Dell'Aquila", "Alessandro", "" ], [ "Lucarini", "Valerio", "" ], [ "Ruti", "Paolo", "" ], [ "Calmanti", "Sandro", "" ] ]
TITLE: Hayashi Spectra of the Northern Hemisphere Mid-latitude Atmospheric Variability in the NCEP and ERA 40 Reanalyses ABSTRACT: We compare 45 years of the reanalyses of NCEP-NCAR and ECMWF in terms of their representation of the mid-latitude winter atmospheric variability for the overlapping time frame 1957-20...
physics/0504167
Petter Holme
Gourab Ghoshal, Petter Holme
Attractiveness and activity in Internet communities
null
Physica A 364, 603-609 (2006)
10.1016/j.physa.2005.04.047
null
physics.soc-ph
null
Datasets of online communication often take the form of contact sequences -- ordered lists contacts (where a contact is defined as a triple of a sender, a recipient and a time). We propose measures of attractiveness and activity for such data sets and analyze these quantities for anonymized contact sequences from an ...
[ { "version": "v1", "created": "Fri, 22 Apr 2005 18:13:53 GMT" } ]
2007-05-23T00:00:00
[ [ "Ghoshal", "Gourab", "" ], [ "Holme", "Petter", "" ] ]
TITLE: Attractiveness and activity in Internet communities ABSTRACT: Datasets of online communication often take the form of contact sequences -- ordered lists contacts (where a contact is defined as a triple of a sender, a recipient and a time). We propose measures of attractiveness and activity for such data sets...
physics/0506213
Neil F. Johnson
N. Johnson, M. Spagat, J. Restrepo, J. Bohorquez, N. Suarez, E. Restrepo, and R. Zarama
From old wars to new wars and global terrorism
For more information, please contact M.Spagat@rhul.ac.uk or n.johnson@physics.ox.ac.uk
null
null
null
physics.soc-ph physics.data-an
null
Even before 9/11 there were claims that the nature of war had changed fundamentally. The 9/11 attacks created an urgent need to understand contemporary wars and their relationship to older conventional and terrorist wars, both of which exhibit remarkable regularities. The frequency-intensity distribution of fatalitie...
[ { "version": "v1", "created": "Wed, 29 Jun 2005 09:33:52 GMT" } ]
2007-05-23T00:00:00
[ [ "Johnson", "N.", "" ], [ "Spagat", "M.", "" ], [ "Restrepo", "J.", "" ], [ "Bohorquez", "J.", "" ], [ "Suarez", "N.", "" ], [ "Restrepo", "E.", "" ], [ "Zarama", "R.", "" ] ]
TITLE: From old wars to new wars and global terrorism ABSTRACT: Even before 9/11 there were claims that the nature of war had changed fundamentally. The 9/11 attacks created an urgent need to understand contemporary wars and their relationship to older conventional and terrorist wars, both of which exhibit remarkab...
physics/0509022
Paolo Gasperini
Paolo Gasperini and Barbara Lolli
Correlation between the parameters of the rate equation for simple aftershock sequences: implications for the forecasting of rates and probabilities
47 pages, 10 figures, 8 tables, 1 appendix with 3 tables
null
null
null
physics.geo-ph
null
We analyzed the correlations among the parameters of the Reasenberg and Jones (1989) formula describing the aftershock rate after a mainshock as a function of time and magnitude, on the basis of parameter estimates made in previous works for New Zealand, Italy and California. For all of three datasets we found that t...
[ { "version": "v1", "created": "Fri, 2 Sep 2005 14:55:54 GMT" } ]
2007-05-23T00:00:00
[ [ "Gasperini", "Paolo", "" ], [ "Lolli", "Barbara", "" ] ]
TITLE: Correlation between the parameters of the rate equation for simple aftershock sequences: implications for the forecasting of rates and probabilities ABSTRACT: We analyzed the correlations among the parameters of the Reasenberg and Jones (1989) formula describing the aftershock rate after a mainshock as a...
physics/0509132
M\'ario Lino da Silva
M. Lino da Silva
Guidelines for the Calculation of Bound Molecular Spectra
17 pages, 7 figures
null
null
null
physics.optics
null
Line-by-line calculations are becoming the standard procedure for carrying spectral simulations. However, it is important to insure the accuracy of such spectral simulations through the choice of adapted models for the simulation of key parameters such as line position, intensity, and shape. Moreover, it is necessary...
[ { "version": "v1", "created": "Thu, 15 Sep 2005 11:41:54 GMT" } ]
2007-05-23T00:00:00
[ [ "da Silva", "M. Lino", "" ] ]
TITLE: Guidelines for the Calculation of Bound Molecular Spectra ABSTRACT: Line-by-line calculations are becoming the standard procedure for carrying spectral simulations. However, it is important to insure the accuracy of such spectral simulations through the choice of adapted models for the simulation of key para...
physics/0511186
Alexei Vazquez
A.-L. Barabasi, K.-I. Goh, and A. Vazquez
Reply to Comment on "The origin of bursts and heavy tails in human dynamics"
Reply to physics/0510216
null
null
null
physics.data-an physics.soc-ph
null
Understanding human dynamics is of major scientific and practical importance and can be increasingly addressed in a quantitative fashion thanks to electronic records capturing various human activity patterns. The authors of Ref. [1] revisit the datasets studied in Ref. [2], making four technical observations. Some of...
[ { "version": "v1", "created": "Tue, 22 Nov 2005 00:09:07 GMT" } ]
2007-05-23T00:00:00
[ [ "Barabasi", "A. -L.", "" ], [ "Goh", "K. -I.", "" ], [ "Vazquez", "A.", "" ] ]
TITLE: Reply to Comment on "The origin of bursts and heavy tails in human dynamics" ABSTRACT: Understanding human dynamics is of major scientific and practical importance and can be increasingly addressed in a quantitative fashion thanks to electronic records capturing various human activity patterns. The authors...
physics/0611073
Jan Bergman
Jan E.S. Bergman and Tobia D. Carozzi
Systematic Characterization of Low Frequency Electric and Magnetic Field Data Applicable to Solar Orbiter
null
null
null
null
physics.space-ph
null
We present a systematic and physically motivated characterization of incoherent or coherent electric and magnetic fields, as measured for instance by the low frequency receiver on-board the Solar Orbiter spacecraft. The characterization utilizes the 36 auto/cross correlations of the 3+3 complex Cartesian components o...
[ { "version": "v1", "created": "Tue, 7 Nov 2006 20:04:01 GMT" } ]
2007-05-23T00:00:00
[ [ "Bergman", "Jan E. S.", "" ], [ "Carozzi", "Tobia D.", "" ] ]
TITLE: Systematic Characterization of Low Frequency Electric and Magnetic Field Data Applicable to Solar Orbiter ABSTRACT: We present a systematic and physically motivated characterization of incoherent or coherent electric and magnetic fields, as measured for instance by the low frequency receiver on-board the S...
physics/0701046
Alessandra Retico
A. Retico, P. Delogu, M.E. Fantacci, A. Preite Martinez, A. Stefanini, A. Tata
A scalable Computer-Aided Detection system for microcalcification cluster identification in a pan-European distributed database of mammograms
6 pages, 5 figures; Proceedings of the ITBS 2005, 3rd International Conference on Imaging Technologies in Biomedical Sciences, 25-28 September 2005, Milos Island, Greece
Nuclear Instruments and Methods in Physics Research A 569 (2006) 601-605
10.1016/j.nima.2006.08.094
null
physics.med-ph
null
A computer-aided detection (CADe) system for microcalcification cluster identification in mammograms has been developed in the framework of the EU-founded MammoGrid project. The CADe software is mainly based on wavelet transforms and artificial neural networks. It is able to identify microcalcifications in different ...
[ { "version": "v1", "created": "Thu, 4 Jan 2007 14:38:01 GMT" } ]
2007-05-23T00:00:00
[ [ "Retico", "A.", "" ], [ "Delogu", "P.", "" ], [ "Fantacci", "M. E.", "" ], [ "Martinez", "A. Preite", "" ], [ "Stefanini", "A.", "" ], [ "Tata", "A.", "" ] ]
TITLE: A scalable Computer-Aided Detection system for microcalcification cluster identification in a pan-European distributed database of mammograms ABSTRACT: A computer-aided detection (CADe) system for microcalcification cluster identification in mammograms has been developed in the framework of the EU-founded ...
physics/0701053
Alessandra Retico
A. Retico, P. Delogu, M.E. Fantacci, P. Kasae
An Automatic System to Discriminate Malignant from Benign Massive Lesions on Mammograms
6 pages, 3 figures; Proceedings of the ITBS 2005, 3rd International Conference on Imaging Technologies in Biomedical Sciences, 25-28 September 2005, Milos Island, Greece
Nuclear Instruments and Methods in Physics Research A 569 (2006) 596-600
10.1016/j.nima.2006.08.093
null
physics.med-ph
null
Mammography is widely recognized as the most reliable technique for early detection of breast cancers. Automated or semi-automated computerized classification schemes can be very useful in assisting radiologists with a second opinion about the visual diagnosis of breast lesions, thus leading to a reduction in the num...
[ { "version": "v1", "created": "Thu, 4 Jan 2007 14:59:11 GMT" } ]
2007-05-23T00:00:00
[ [ "Retico", "A.", "" ], [ "Delogu", "P.", "" ], [ "Fantacci", "M. E.", "" ], [ "Kasae", "P.", "" ] ]
TITLE: An Automatic System to Discriminate Malignant from Benign Massive Lesions on Mammograms ABSTRACT: Mammography is widely recognized as the most reliable technique for early detection of breast cancers. Automated or semi-automated computerized classification schemes can be very useful in assisting radiologis...