Index S

data mining: opportunities and challenges
Index
Data Mining: Opportunities and Challenges
by John Wang (ed) 
Idea Group Publishing 2003
Brought to you by Team-Fly

T

task expansion policy 126

task parallel 112

task selection policy 127

templates 111

temporal na ve Bayesian network 38

test set 122

test statistic 5

text categorization 200

text clustering 440

text documents 199

text markups 442

thematic hierarchies 199

theory of rough sets (RST) 143

threshold boundaries 180

time series analysis 225

time series learning architectures 45

time-series and sequence-based data 444

time-series data 253

Titanic dataset 261

total cost of ownership (TCO) 223

training Bayesian belief networks 273

training data 273

training set 122

transparency 29

trigger 180

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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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