Node Classification	Description	Supported Nodes
Input	Load data	ODBC Reader, OLEDB Reader, Access Reader, Excel Reader, Oracle Reader, Oracle Read/Write, File Reader, File Reader2, File Read/Write, Add Input, Copy&Paste Input, Hancell Reader, Image Reader
Preprocessing	Define data type, transform, and format. Filtering and subsetting data	Missing Value, Group By, Multiple Derived Column, Column Reorder, Merge, Standardize, Split, Row Select, Column Combiner, Sort, Fill, Add, Pivot, Derived Column, Sampling, Column Filter, Type Change, COUNTER, RANKING, Group Statistics, Row Select2, Binning
Chart	Data visualization with various chart options	3D Chart, Bar Chart, Contour Chart, Control Chart, Histogram, Matrix Chart, Pareto Chart, Pie Chart, Trend Chart, Statistic Chart, SPC Chart, Box plot, MSPC Chart, Process Contribution Chart, Word Cloud, Radar Chart Matrix, GL Chart, Multi Chart, Correlation Chart, Parallel Coordinates GL Chart, Heat Map GL
Modeling	All algorithm nodes for statistical analysis and AI. As a result, Model Node is generated. ECMiner™ supports a total of 41 algorithms.	Adaptive NN, Association Rule, Autoencoder, CART, CCA, CNN, DeepNN, ElmanNet, Factor Analysis, Hierarchical, K-Means, K-NN, LDA, LOF, Logistic, MLR, NaiveBayes, PCA, PCR, PLS, QDA, RBF, RBF DDA, Regularized Regression, RF, RL (AC_RL, DDPG_RL, DQN_RL, PG_RL, SAC_RL, TD3_RL), ScoreCard, SimpleRNN, SOM, SVM, SVR, t-SNE
Output	Results. Save as a file or display on the screen	ODBC Writer, OLEDB Writer, Result Pivoting, Oracle DB Writer, Statistics, File Writer, Display, Separated Save
Model Evaluation	Compare model performance	Model Evaluation, ROC Chart, Profit Chart