Operator Index

Add Hydrogen – PaDEL, 313

Add Noise, 375

Aggregate, 295, 371

Aggregation, 84

All-knn-selection, 368

ANOVA, 294, 435

Append, 219, 263, 295, 375, 404

Apply Model, 38, 89, 131, 202, 222, 265, 274, 291, 316, 415

Apply Threshold, 90

approximate Local Correlation Integral, 408

Attribute Based Item Recommendation, 136

Attributes by Weight, 323

Backward Elimination, 323

Bootstrap Validation, 326

Border / Interior Classification, 353

Calculate Descriptors – PaDEL, 313

Class assigner, 381

Class Iterator, 386

Clear Log, 375

Cluster Distance Performance, 416

Cluster Internal Evaluation, 182

Cluster-Based Local Outlier Factor (CBLOF), 409

Clustering (k-means(fast)), 242

Color Component Extractor, 337

Color to gray-scale, 337, 352

Combine Documents, 219

Compare ROCs, 93

Connectivity-Based Outlier Factor (COF), 407

Convert to 3D – PaDEL, 313

Count Substructure – PaDEL, 313

Create Association Rules, 114, 239

Create Lift Chart, 90

Create Threshold, 90

Cross Distance, 135

DBScan, 185

Decision Tree, 25, 92, 150, 301, 429

Declare Missing Values, 111

Detect Aromaticity – PaDEL, 313

Detect Dimensionality – PaDEL, 313

Detect Outlier (Densities), 397

Detect Outlier (Distance), 397

Detector, 357

Dichomatize, 321

Discretize, 145

Discretize by Binning, 53, 56, 87

Discretize by User Specification, 87

dLog Distance, 351

Documents to Data, 219

ENN selection, 368

ENN Weighting, 384

Execute Process, 164

Execute Script, 416, 438

Extract Cluster Prototypes, 390

Extract Content, 229

Extract Macro, 275, 325, 381, 419, 438

FCM, 381

Feature Selection Stability Validation, 268

Filter Examples, 53, 56, 83, 111, 147, 276, 286, 323, 343, 412

Filter Stopwords, 201

Filter Stopwords (English), 237

Filter Tokens (by Length), 237

Forward Selection, 323

FP-Growth, 113, 239

Free Memory, 265, 325

Fuzzy C-Means, 381

Gaussian Blur, 335, 358

Generate Attributes, 82, 217, 269, 275, 295, 322, 412

Generate Data, 162, 403

Generate ID, 326

Generate Macro, 381

Generate n-Grams (Characters), 224

Generate N-Grams (Terms), 200, 240

Generate Weight (Stratification), 88

Get Page, 229

Global Feature Extractor from a Single

Image, 345, 351

Global statistics, 345, 352

Grayscale to color, 337

Grouped ANOVA, 303

Guess Type, 85

Handle Exception, 375, 435

Histogram, 352

Histogram Equalization, 336

IB3 Selection, 370

Image Combinator, 339

Impute Missing Values, 87

Influenced Outlierness (INFLO), 408

Interest Points Visualizer, 357

Inverse, 343

Item Attribute k-NN, 137

Item k-NN, 131, 137

Iterative Component Analysis, 47

Join, 82, 135, 323, 413

K-Means, 167, 185, 300, 417

K-medoids, 185

k-NN, 33, 42, 45, 371, 381, 431

k-NN Global Anomaly Score, 404

Keep Document Parts, 212

LDA, 375

Learning Vector Quantization, 381

LibSVM, 414

Linear Discriminant Analysis, 375

Linear Regression, 93, 317

Local Correlation Integral (LOCI), 408

Local Density Cluster-Based Outlier Factor

(LDCOF), 410

Local Outlier Factor (LOF), 406

Local Outlier Probability (LoOP), 408

Log, 89, 148, 265, 325, 371, 432

Log to Data, 138, 325, 371, 417, 433

Logistic Regression, 93, 323

Look Up table applier, 337

Loop, 148, 267, 336, 381, 431

Loop and Deliver Best, 323

Loop Attributes, 322

Loop Datasets, 375

Loop Examples, 417

Loop Files, 217, 336, 429

Loop Labels, 384

Loop Models, 387

Loop Parameters, 185, 263, 266, 375, 387

Loop Subset, 325

LVQ, 381

Macro, 336

Map, 381, 403, 415

Materialize Data, 167, 387

MC Selection, 367

Merge Segments to Image, 343

Model Combiner, 136

Modelling, 315

Multiple Color Image Opener, 345, 350

Multiple Grayscale Image Opener, 336

Multiply, 83, 135, 147, 271, 295, 323, 338,413

Naive Bayes, 53, 65, 150, 202, 222, 431

Neural Net, 290, 291

Nominal to Binominal, 321

Nominal to Binominal, 82, 111

Nominal to Numerical, 93

Nominal to Text, 219

Normalize, 185, 371, 399, 413

Numerical to Binominal, 37, 40, 237, 295

Numerical to Nominal, 381

Numerical to Polynominal, 37, 40

Open Color Image, 336

Open Grayscale Image, 335, 357

Optimize Parameters, 93, 187

Optimize Parameters (Grid), 415

Optimize Search, 325

Optimize Selection, 150, 325

Order-based Block Color, 352

PaDEL, 312

Parse Numbers, 138, 378

Performance, 38, 51, 89, 131, 137, 202, 265, 292, 429

Performance (Binominal Classification), 53, 89

Performance (Classification), 38, 48, 148,415

Performance – Regression, 317

Performance Binominal Classification, 38

Permutation, 326

Pivot, 433

poi generator, 346

Principal Component Analysis, 47

Process Documents, 135, 197

Process Documents from Data, 135, 197,221

Process Documents from Files, 235

Provide Macro as Log Value, 138, 381,419, 432

Random Forest, 150, 273, 323, 431

Random Selection, 367, 384

Read AML, 124, 145, 183, 262, 428

Read Compounds – PaDEL, 313

Read CSV, 36, 46, 105, 166, 197, 217, 411

Read Database, 82, 105

Read Excel, 23, 36, 67

Read Image Set, 356

Read URL, 36

Recall, 375, 416

Remap Binominals, 270, 321

Remember, 167, 375, 416

Remove Correlated Attributes, 47

Remove Salt – PaDEL, 313

Remove Unused Values, 286

Remove Useless Attributes, 47, 87, 323

Rename, 36, 40, 166, 217, 262, 295, 321

Rename by Replacing, 53, 56

Rename Compound – PaDEL, 313

RENN selection, 375

Replace, 112

Replace Missing Values, 86, 111, 185, 299

Replace Tokens, 224

Replenish Values, 322

Retrieve, 82, 197, 220, 321

RMHC selection, 367

RNG selection, 370

ROI Statistics, 358

ROI statistics, 343

Sample, 88, 109, 200, 271

Sample (Bootstrapping), 271

Sample (Stratified), 387

Segment Feature Extraction, 343

Segment Feature Extractor, 358

Segment Filter by Example Set, 343

Segment Mask Processor, 358

Select, 434

Select Attributes, 23, 47, 67, 82, 109, 145,167, 183, 217, 242, 286, 411

Select by MRMR/CFS, 265

Select by Weights, 323

Select Subprocess, 148, 185, 378, 431

Set Minus, 135

Set Role, 36, 37, 86, 130, 145, 217, 219,326, 412

Simple Validation, 148

Singular Value Decomposition, 47

Sort, 322

Split Data, 48, 219

Split Validation, 37

Statistical region merging, 343, 358

Stem (Porter), 200, 237

Store, 197, 219, 322, 343, 404

Subprocess, 21, 145, 275, 343, 432

Support Vector Clustering, 185

Support Vector Machine, 431

Support Vector Machine (LibSVM), 403,415

SVD, 137

SVM, 342, 387

T-Test, 434

Text to Nominal, 237

Thresholding, 358

Tokenize, 197, 220, 237

Trainable segmentation, 342

Transform Cases, 200, 226, 237

Transpose, 323

Unescape HTML, 229

Update Model, 131

Validation, 221

Vector Quantization, 381

Viola-Jones, 357

VQ, 381

W-LMT, 150

W-Random Forest, 265

W-SimpleCart, 150

Weight by Correlation, 323

Weight by Information Gain, 323

Weight by Tree Importance, 323

Weight Transformation, 386

Wrapper Split Validation, 150

Wrapper X-Validation, 265

Write AML, 276

Write Compounds – PaDEL, 313

Write Image to File, 335, 336

Write Model, 94

Write Weights, 151, 263

X-Means, 409

X-Validation, 38, 53, 57, 87, 203, 222, 263, 290, 429