Index L

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

M

machine learning 279, 303

machine learning in Java (MLJ) 28

machine learning techniques 305

marginal cost-oriented basic cost models 254

market basket analysis 116

Markov Chain Monte Carlo methods (MCMC) 266

Markov chain simulation 274

Markov chains 274

matching factor 167

mathematical probability 2

Maximum A Posteriori (MAP) 5

maximum performance efficiency (MPE) 239, 244

mean 5

mean estimate 5

mean substitution 182

median 5

medical field 168

medical imaging 443

memory form 38

memory hierarchy 108

meta-evolutionary ensembles (MEE) 81, 97

metric-based model selection 32

metropolis algorithm 275

minimal complex 150

minimum confidence 177

minimum description length (MDL) 27

minimum support 116

mining free text for content markers 280

mixture model 32

mixture prior 10

model selection 28, 31, 37

model-based procedures 186

modular parity 36

moving average (MA) 41

MPI 111

multimedia DM 443

multimedia mining 442

multiple imputation 186

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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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