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» Redundancy in Spatial Databases
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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 8 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
RECOMB
2004
Springer
14 years 7 months ago
Mining protein family specific residue packing patterns from protein structure graphs
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...
VLDB
2008
ACM
170views Database» more  VLDB 2008»
14 years 7 months ago
A layered framework supporting personal information integration and application design for the semantic desktop
With the development of inexpensive storage devices, space usage is no longer a bottleneck for computer users. However, the increasingly large amount of personal information poses ...
Isabel F. Cruz, Huiyong Xiao
VLDB
2008
ACM
110views Database» more  VLDB 2008»
14 years 7 months ago
Enhancing histograms by tree-like bucket indices
Histograms are used to summarize the contents of relations into a number of buckets for the estimation of query result sizes. Several techniques (e.g., MaxDiff and V-Optimal) have ...
Francesco Buccafurri, Gianluca Lax, Domenico SaccÃ...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 7 months ago
Fast range-summable random variables for efficient aggregate estimation
Exact computation for aggregate queries usually requires large amounts of memory ? constrained in data-streaming ? or communication ? constrained in distributed computation ? and ...
Florin Rusu, Alin Dobra