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» Clustering with Instance-level Constraints
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SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
13 years 9 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 8 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...
HPCA
2008
IEEE
14 years 8 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
ICC
2009
IEEE
112views Communications» more  ICC 2009»
14 years 2 months ago
Towards Secure Spectrum Decision
—The key idea of dynamic spectrum access (DSA) networks is to allow the secondary, unlicensed users to detect and use unused portions of the spectrum (white spaces) opportunistic...
Goce Jakimoski, K. P. Subbalakshmi
ACSC
2008
IEEE
14 years 2 months ago
Integrating recommendation models for improved web page prediction accuracy
Recent research initiatives have addressed the need for improved performance of Web page prediction accuracy that would profit many applications, ebusiness in particular. Differ...
Faten Khalil, Jiuyong Li, Hua Wang