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» Data Reduction Using Multiple Models Integration
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138
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MLMI
2004
Springer
15 years 9 months ago
Multistream Dynamic Bayesian Network for Meeting Segmentation
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose e...
Alfred Dielmann, Steve Renals
138
Voted
DEXAW
2002
IEEE
79views Database» more  DEXAW 2002»
15 years 8 months ago
Understanding the Behavior of the Conflict-Rate Metric in Optimistic Peer Replication
Optimistic replication of data is a widely used tool for mobile environments, but the behavior of concurrent conflicting updates caused by the relaxed consistency model is poorly ...
An-I Wang, Peter L. Reiher, Rajive Bagrodia, Geoff...
153
Voted
SIGMOD
1995
ACM
80views Database» more  SIGMOD 1995»
15 years 7 months ago
Join Queries with External Text Sources: Execution and Optimization Techniques
Text is a pervasive information type, and many applications require querying over text sources in addition to structured data. This paper studies the problem of query processing i...
Surajit Chaudhuri, Umeshwar Dayal, Tak W. Yan
149
Voted
DASFAA
2011
IEEE
270views Database» more  DASFAA 2011»
14 years 7 months ago
AutoBayesian: Developing Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Sandeep Raghuram, Yuni Xia, Jiaqi Ge, Mathew Palak...
128
Voted
ISPASS
2006
IEEE
15 years 9 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder