He has
published more than 25 papers in refereed journals and international conferences
in the above areas.
Kesheng Wu is a staff computer scientist with the Scientific Data Management
Research Group of Berkeley Lab, Berkeley, California. His recent research interests
focus on indexing large high-dimensional datasets and managing of distributed data
warehouses. He is one of the principal contributors to the FastBit project which is
developing a set of efficient bitmap indices and applying them to different applications.
Previously, he had worked on a number of parallel computing projects and
industrial software engineer projects. He received his PhD in computer science from
the University of Minnesota in 1997.
328 Index
Copyright ?© 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of
Idea Group Inc. is prohibited.
Index
Symbols
2PC (see two-phase-commit) 235
A
accuracy 69
additivity 17
ad hoc analysis 137
ad hoc star queries 137
advanced modeling 9
aggregate navigation 32, 53
aggregation 17
algorithm 269
analysis and modeling 61
association rule mining (ARM) 257, 261
attribute value decomposition (AVD) 186
B
basic bitmap index 161
BBC (see byte-aligned bitmap code) 166
binning 164
bit-sliced index (BSI) 186
bitmap index tuning 168
BSI (see bit-sliced index) 186
byte-aligned bitmap code (BBC) 166
C
cache approximation query routing 241
canonical schemas 52
chunk-tree representation 147
combustion dataset 171
completeness 69
compression 166
conceptual design 18
conceptual model 122
conceptual modeling 2
consistency 69
contextual data quality 66
controlled requirements expression
(CORE) 62
conventional routing strategies 239
convergence 11
CORE (see controlled requirements expression)
62
correctness 242
cost model 206, 217
cross-dimension attribute 10
cube dependence graph 38
cube view 37
currency 69
Index 329
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