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» Agent-Enriched Data Mining Using an Extendable Framework
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142
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SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
15 years 3 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
108
Voted
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
15 years 3 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
MSS
2005
IEEE
138views Hardware» more  MSS 2005»
15 years 8 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,...
118
Voted
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
15 years 7 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 4 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