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» Tight results for clustering and summarizing data streams
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SIGIR
2002
ACM
13 years 7 months ago
Document clustering with committees
Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...
Patrick Pantel, Dekang Lin
IADIS
2008
13 years 9 months ago
Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
14 years 1 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
ESA
2005
Springer
107views Algorithms» more  ESA 2005»
14 years 1 months ago
Workload-Optimal Histograms on Streams
Histograms are used in many ways in conventional databases and in data stream processing for summarizing massive data distributions. Previous work on constructing histograms on da...
S. Muthukrishnan, Martin Strauss, X. Zheng
PODS
2004
ACM
207views Database» more  PODS 2004»
14 years 7 months ago
Adaptive Sampling for Geometric Problems over Data Streams
Geometric coordinates are an integral part of many data streams. Examples include sensor locations in environmental monitoring, vehicle locations in traffic monitoring or battlefi...
John Hershberger, Subhash Suri