Index C

Index
Data Mining: Opportunities and Challenges
by John Wang (ed)
Idea Group Publishing 2003

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D

data analysis 367

data cleaning 60

data constraints 444

data distribution 118

data dredging 226

data envelopment analysis (DEA) 383

data hypercube 439

data imputation 181

data inconsistency 178

data integration 61

data matrix 6

data mining (DM) 55, 107, 220, 260, 350, 351, 369, 382, 395

data mining techniques 59, 367

data mining tools 324

data missing at random 175, 179

data missing completely at random 175, 179

data parallel 112

data preprocessing 60

data repository 59

data selection 61

data servers 110

data to knowledge (D2K) 28

data transformation 61

data transport layers 110

data visualization 235

data warehouses 370

database (DB) view 438

database management support (DBMS) 107

datamarts 370

DBSCAN 108

DEA efficient frontier 385

decision matrices 159

decision tree analysis 375

decision tree inducers 28

decision tree induction 108

decision trees (DTs) 122, 188, 233

decision-support system 421

decomposition of input 32

Dempster-Shafer theory 6

density-based clustering 128

design patterns 111

digital libraries 442

dimension/level constraints 445

directed acyclic graph 269

Dirichlet distribution 10

dirty data 177

disaster planning 235

discriminating analysis 424

discriminating function weights 425

distributed and collective DM 441

distributed computation 106

distributed data mining (DDM) 108, 441

distributed hypertext resource discovery 442

distributed memory architectures 108

divide-and-conquer (D&C) 122

DNA 446

document cluster map (DCM) 201, 204

document semantics 320

domains dimension 428

dynamic DSS 433

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