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ICDCS
2002
IEEE
15 years 11 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
SIGMOD
2010
ACM
198views Database» more  SIGMOD 2010»
15 years 11 months ago
Continuous analytics over discontinuous streams
Continuous analytics systems that enable query processing over steams of data have emerged as key solutions for dealing with massive data volumes and demands for low latency. Thes...
Sailesh Krishnamurthy, Michael J. Franklin, Jeffre...
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 10 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
WWW
2004
ACM
16 years 7 months ago
Staging transformations for multimodal web interaction management
Multimodal interfaces are becoming increasingly ubiquitous with the advent of mobile devices, accessibility considerations, and novel software technologies that combine diverse in...
Michael Narayan, Christopher Williams, Saverio Per...
OOPSLA
2007
Springer
16 years 14 days ago
Scalable omniscient debugging
Omniscient debuggers make it possible to navigate backwards in time within a program execution trace, drastically improving the task of debugging complex applications. Still, they...
Guillaume Pothier, Éric Tanter, José...