Index D

data mining: opportunities and challenges
Index
Data Mining: Opportunities and Challenges
by John Wang (ed) 
Idea Group Publishing 2003
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E

e-health models 351

economic dimensions 354

efficiency approaches 239

efficient frontier 386

electronic commerce 350

Electronic Communications Privacy Act 411

Electronic Funds Transfer Act 410

elementary sets 154

employee recruitment support 378

employee training evaluation 379

ensemble 81

ensemble learning 33

estimation criterion quality issues 249

estimation maximization (EM) algorithm 273

ethical issues 398

evolutionary algorithms (EAs) 81, 84

evolutionary computation 27

evolutionary computation-genetic algorithms (GA) 34

evolutionary computation genetic programming (GP) 34

evolutionary local selection algorithms (ELSA) 81

expectation maximization (EM) algorithm 41

expectation maximization (EM) method 17

experimental design 5

expert system for environmental protection (ESEP) 167

external object library 108

external objects (EO) 114

extraction rules 438

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Data Mining(c) Opportunities and Challenges
Data Mining: Opportunities and Challenges
ISBN: 1591400511
EAN: 2147483647
Year: 2003
Pages: 194
Authors: John Wang

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