Data Mining: Practical Machine Learning Tools and Techniques, Second Edition
508 INDEX causal relations, 350 CfsSubsetEval, 422 chain rule (probability theory), 275 character sets, 310 ChiSquaredAttributeE ...
INDEX 509 randomization, 320–321 stacking, 332–334 command-line interface, 449–459 class, 450, 452 classifierspackage, 453–455 c ...
510 INDEX CSVLoader, 381 cumulative margin distribution in Weka, 458 curves cost, 173 lift, 166 recall-precision, 171 ROC, 168 c ...
INDEX 511 document classification, 94–96, 352–353 document clustering, 353 domain knowledge, 20, 33, 349–351 double-consequent r ...
512 INDEX Experimenter, 437–447 advanced panel, 443–445 Analyzepanel, 443–445 analyzing the results, 440–441 distributing proces ...
INDEX 513 Fisher, R. A., 15 flat file, 45 F-measure, 172 FN (false negatives), 162 folds, 150 forward pruning, 34, 192 forward s ...
514 INDEX implementation—real-world schemes (continued) numeric prediction, 243–254 See alsoindividual subject headings inaccura ...
INDEX 515 K K2, 278 Kappa statistic, 163–164 kD-trees, 130–132, 136 Kepler’s three laws of planetary motion, 180 kernel defined, ...
516 INDEX listOptions(), 482 literary mystery, 358 LMT, 408 load forecasting, 24–25 loan application, 22–23 local discretization ...
INDEX 517 multiclass alternating decision trees, 329, 330, 343 MultiClassClassifier, 418 multiclass learning problems, 334 Multi ...
518 INDEX numeric prediction (continued) model tree, 244–251.See alsomodel tree rules, 251 stacking, 334 trees, 76, 243 NumericT ...
INDEX 519 predicting performance, 146–149.See also evaluation predicting probabilities, 157–161 PredictionAppender, 431 predicti ...
520 INDEX relational data, 49 relational rules, 74 relations, 73–75 relative absolute error, 177–179 relative error figures, 177 ...
INDEX 521 sigmoid kernel, 219 Simple CLI, 371, 449, 450 SimpleKMeans, 418–419 simple linear regression, 326 SimpleLinearRegressi ...
522 INDEX support vector, 216 support vector machine, 39, 188, 214, 340 support vector machine (SVM) classifier, 341 support vec ...
INDEX 523 unlabeled data, 337–341 clustering for classification, 337 co-training, 339–340 EM and co-training, 340–341 unmasking, ...
524 INDEX Winnow, 410 Winnow algorithm, 126–128 wisdom, defined, 37 Wolpert, David, 334 word conversions, 310 World Wide Web min ...
About the authors Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He is a fellow o ...
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