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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 6 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
VLSID
2002
IEEE
149views VLSI» more  VLSID 2002»
16 years 6 months ago
Functional Partitioning for Low Power Distributed Systems of Systems-on-a-Chip
In this paper, we present a functional partitioning method for low power real-time distributed embedded systems whose constituent nodes are systems-on-a-chip (SOCs). The systemlev...
Yunsi Fei, Niraj K. Jha
VLDB
2007
ACM
195views Database» more  VLDB 2007»
16 years 6 months ago
Modeling and Querying Vague Spatial Objects Using Shapelets
Research in modeling and querying spatial data has primarily focused on traditional "crisp" spatial objects with exact location and spatial extent. More recent work, how...
Daniel Zinn, Jim Bosch, Michael Gertz
PODS
2005
ACM
115views Database» more  PODS 2005»
16 years 6 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
EDBT
2006
ACM
191views Database» more  EDBT 2006»
16 years 6 months ago
Parallelizing Skyline Queries for Scalable Distribution
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are rest...
Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Div...