June 2011
Beginner to intermediate
744 pages
25h 11m
English
Content preview from Data Mining: Concepts and Techniques, 3rd Edition
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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
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
ad hoc data mining, 31
AdaBoost, 380–382
algorithm illustration, 382
TrAdaBoost, 436
adaptive probabilistic networks, 397
advanced database systems, 4
agglomerative ...
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