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» Discovering Dynamics Using Bayesian Clustering
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AIIA
2001
Springer
15 years 2 months ago
Evaluation Methods for Focused Crawling
The exponential growth of documents available in the World Wide Web makes it increasingly difficult to discover relevant information on a specific topic. In this context, growing ...
Andrea Passerini, Paolo Frasconi, Giovanni Soda
ICNC
2005
Springer
15 years 3 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
MASCOTS
2010
14 years 11 months ago
PAC: Pattern-driven Application Consolidation for Efficient Cloud Computing
To reduce cloud system resource cost, application consolidation is a must. In this paper, we present a novel patterndriven application consolidation (PAC) system to achieve efficie...
Zhenhuan Gong, Xiaohui Gu
DMIN
2006
111views Data Mining» more  DMIN 2006»
14 years 11 months ago
Profiling and Clustering Internet Hosts
Identifying groups of Internet hosts with a similar behavior is very useful for many applications of Internet security control, such as DDoS defense, worm and virus detection, dete...
Songjie Wei, Jelena Mirkovic, Ezra Kissel
DKE
2006
126views more  DKE 2006»
14 years 9 months ago
FRACTURE mining: Mining frequently and concurrently mutating structures from historical XML documents
In the past few years, the fast proliferation of available XML documents has stimulated a great deal of interest in discovering hidden and nontrivial knowledge from XML repositori...
Ling Chen 0002, Sourav S. Bhowmick, Liang-Tien Chi...