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DATAMINE
1999
108views more  DATAMINE 1999»
15 years 6 months ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri
FPL
2009
Springer
103views Hardware» more  FPL 2009»
15 years 4 months ago
Customizable domain-specific computing
In this article, we introduce the ongoing research in modeling and mapping for heterogeneous, customizable, parallel systems, as part of the effort in the newly established Center...
Jason Cong
SIGMOD
2009
ACM
132views Database» more  SIGMOD 2009»
16 years 6 months ago
Core schema mappings
Research has investigated mappings among data sources under two perspectives. On one side, there are studies of practical tools for schema mapping generation; these focus on algor...
Giansalvatore Mecca, Paolo Papotti, Salvatore Raun...
KDD
2001
ACM
203views Data Mining» more  KDD 2001»
16 years 6 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
ICDT
2012
ACM
235views Database» more  ICDT 2012»
13 years 9 months ago
Equivalence and minimization of conjunctive queries under combined semantics
The problems of query containment, equivalence, and minimization are recognized as very important in the context of query processing, specifically of query optimization. In their...
Rada Chirkova