Data Mining Techniques in Grid Computing Environments

Index

ADaM, 57

algorithm

Apriori, 203, 209, 217

AprioriG, 203

association, 4

back-propagation, 48, 95

C4.5, 96, 213

CAREN, 257

CART, 214

classification, 4, 92, 93, 95, 96, 102

cluster, 193

clustering, 4, 96, 97

Cobweb, 97

compression, 230

consensus classifier, 215

decision making, 208

decision tree, 44, 48, 93, 96

distributed, 4

Distributed HilOut, 78

expectation-maximization, 47, 110

greedy, 215

HilOut, 74

IBK, 167

ID3, 188, 209, 212

J4.8, 96, 209, 213, 216

k-means, 48, 68, 193

k-nearest neighbours, 165, 172, 174

k-NN, 172

locally weighted learning, 175

LWL, 167

M5P, 167

Markov clustering, 33

monolithic, 102

naïve Bayes classifier, 64

neural network, 44, 93

regression, 93

shipping of algorithms, 166

SLIQ, 214

SPADE, 48

SPRINT, 48, 214

Weka, 92, 167, 213, 257

analysis

imaging data, 57

Anteater, 175, 179

Anthill, 179

application

adverse drug reaction, 132

analysis of grid environments, 72

bioinformatics, 43, 119

biology, 7, 132, 141, 142

data-intensive, 34

dust classification, 64

geophysics, 57

haemodialysis, 197

life science, 4

medical databases, 4

medicine, 7

microarray analysis, 142

parameter study, 44

protein folding and unfolding, 256

trypanosomiasis resistance, 141, 151

astrophysics, 95

bioinformatics, 38, 119, 129, 141–143, 151

BPEL, 45, 105

broker, 30

storage resource broker, 258

brokering, 201, 208

CERN, 3

classification, 4

clustering, 4

Markov, 33

computational grid, 8

Condor, 81, 170

CORBA, 126

CRISP-DM, 39, 176, 177

data

privacy, 2, 40, 202

data composition

horizontal, ...