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» Agent-Enriched Data Mining Using an Extendable Framework
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168
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SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
15 years 6 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
129
Voted
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
15 years 6 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
140
Voted
MSS
2005
IEEE
138views Hardware» more  MSS 2005»
15 years 10 months ago
Security vs Performance: Tradeoffs using a Trust Framework
We present an architecture of a trust framework that can be utilized to intelligently tradeoff between security and performance in a SAN file system. The primary idea is to diffe...
Aameek Singh, Sandeep Gopisetty, Linda Duyanovich,...
140
Voted
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
15 years 10 months ago
Association Rule Mining in Peer-to-Peer Systems
We extend the problem of association rule mining – a key data mining problem – to systems in which the database is partitioned among a very large number of computers that are ...
Ran Wolff, Assaf Schuster
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 7 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing