Data Mining: Concepts and Techniques, 3rd Edition

Index

Numbers and Symbols

.632 bootstrap, 371

δ-bicluster algorithm, 517–518

δ-pCluster, 518–519

A

absolute-error criterion, 455

absolute support, 246

abstraction levels, 281

accuracy

attribute construction and, 105

boosting, 382

with bootstrap, 371

classification, 377–385

classifier, 330, 366

with cross-validation, 370–371

data, 84

with holdout method, 370

measures, 369

random forests, 383

with random subsampling, 370

rule selection based on, 361

activation function, 402

active learning, 25, 430, 437

ad hoc data mining, 31

AdaBoost, 380–382

algorithm illustration, 382

TrAdaBoost, 436

adaptive probabilistic networks, 397

advanced data analysis, 3, 4

advanced database systems, 4

affinity matrix, 520, 521

agglomerative ...