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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 9 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 9 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 9 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 9 months ago
ADMIT: anomaly-based data mining for intrusions
Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system...
Karlton Sequeira, Mohammed Javeed Zaki
VLSID
2003
IEEE
134views VLSI» more  VLSID 2003»
14 years 9 months ago
A Framework for Energy and Transient Power Reduction during Behavioral Synthesis
Abstract-- In battery driven portable applications, the minimization of energy, average power, peak power, and peak power differential are equally important to improve reliability ...
Saraju P. Mohanty, N. Ranganathan
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