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Data Mining(c) Opportunities and Challenges Authors: Wang J. Published year: 2003 Pages: 168-170/194 |
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Index
A
agent-based architecture 421
agent-based DSS 421
agents 440
apriori 108
artificial intelligence (AI) 447
artificial neural networks (ANNs) 84
association rules 108, 176, 188
attribute subset selection 36
attribute-based approaches 30
automated problem decomposition 28
automated relevance determination 33
automatic category hierarchy generation 207
automatic category theme identification 211
automatic generation of categories 200
automatic interaction detection 176
autoregressive moving average (ARMA) 41
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Index
B
bagging 96
banking performance 382
banks 383
Bayes factor 3
Bayes' theorem 260
Bayesian analysis 6
Bayesian approach 263
Bayesian belief networks (BBNs) 260, 269
Bayesian classification 260
Bayesian classifier 267
Bayesian methods 260
Bayesian data mining 1
behavioral factors 355
Beowulf clusters 139
Bernoulli distribution 264
beta distribution 4, 264
bioinformatics 445
block of a variable-value pair 150
blocks 148
bookmark organizer (BO) 441
boosting 96
boundary region 156
business intelligence 439
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Index
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 Authors: Wang J. Published year: 2003 Pages: 168-170/194 |
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