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» Active Mining in a Distributed Setting
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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 1 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 4 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
15 years 4 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
132
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KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 3 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
PPOPP
2005
ACM
15 years 6 months ago
Exposing disk layout to compiler for reducing energy consumption of parallel disk based systems
Disk subsystem is known to be a major contributor to overall power consumption of high-end parallel systems. Past research proposed several architectural level techniques to reduc...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, A...