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» An algorithmic approach to knowledge evolution
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163
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VLDB
1992
ACM
140views Database» more  VLDB 1992»
15 years 9 months ago
Practical Skew Handling in Parallel Joins
We present an approach to dealing with skew in parallel joins in database systems. Our approach is easily implementable within current parallel DBMS, and performs well on skewed d...
David J. DeWitt, Jeffrey F. Naughton, Donovan A. S...
ECML
2006
Springer
15 years 9 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
APWEB
2010
Springer
15 years 9 months ago
Learning to Find Interesting Connections in Wikipedia
To help users answer the question, what is the relation between (real world) entities or concepts, we might need to go well beyond the borders of traditional information retrieval ...
Marek Ciglan, Etienne Riviere, Kjetil Nørv&...
CIKM
2008
Springer
15 years 7 months ago
Proactive learning: cost-sensitive active learning with multiple imperfect oracles
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
Pinar Donmez, Jaime G. Carbonell
181
Voted
DAWAK
2008
Springer
15 years 7 months ago
Mining Multidimensional Sequential Patterns over Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
Chedy Raïssi, Marc Plantevit