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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...
KDD
2003
ACM
124views Data Mining» more  KDD 2003»
16 years 6 months ago
Information-theoretic co-clustering
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...
HPCA
2008
IEEE
16 years 6 months ago
Cluster-level feedback power control for performance optimization
Power control is becoming a key challenge for effectively operating a modern data center. In addition to reducing operating costs, precisely controlling power consumption is an es...
Xiaorui Wang, Ming Chen
ICSE
2008
IEEE-ACM
16 years 6 months ago
Answering common questions about code
Difficulties understanding update paths while understanding code cause developers to waste time and insert bugs. A detailed investigation of these difficulties suggests that a wid...
Thomas D. LaToza
SDM
2009
SIAM
185views Data Mining» more  SDM 2009»
16 years 3 months ago
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han