Index B

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

c-elementary sets 154

C4.5 108

candidate distribution 118

CART 176

case substitution 182

cases base 428

categorical data 6

categorization 441

categorization agents 440

category hierarchy 203

category themes 200

causal relationships 269

causality 13

CHAID 176

chi-square automatic interaction detection 176

child links 305

Children's Online Privacy Protection Act (COPPA) 413

Chinese corpus 201

chordal graphs 15

CLaP 308

classification 375, 438

classification table 155

classification trees 176

classifier fusion 30

cliques 15

clustering 33, 89, 203, 375, 438, 441

co-citation analysis 440

cold deck imputation 183

collaborative virtual environments

(CVEs) 73

collective data-mining (CDM) 441

community health information networks (CHINs) 350, 352

competitive clustering 30

complete case approach 181

composite hypothesis 4

composite learning 32

computation grain 109

computational grid resources 110

concepts 148

conditional entropy 38

confounder 14

conjugate prior 264

constraint-based DM 444

constructive induction 33

convolutional code 38

cooperative learning 55

coordination language 111

CORBA-operated software 110

core point 128

count distribution 118

credible set 3

crisis monitoring 28

cross-validation 228

curse of dimensionality 31

customer (patient) profiling 352

customer relationship management (CRM) 89

customer targeting 84

customized-usage tracking 439

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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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