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» Mining evolving data streams for frequent patterns
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DAWAK
2005
Springer
15 years 3 months ago
Optimizing a Sequence of Frequent Pattern Queries
Discovery of frequent patterns is a very important data mining problem with numerous applications. Frequent pattern mining is often regarded as advanced querying where a user speci...
Mikolaj Morzy, Marek Wojciechowski, Maciej Zakrzew...
DAWAK
2000
Springer
15 years 2 months ago
Mining Frequent Binary Expressions
In data mining, searching for frequent patterns is a common basic operation. It forms the basis of many interesting decision support processes. In this paper we present a new type ...
Toon Calders, Jan Paredaens
ICDE
2004
IEEE
155views Database» more  ICDE 2004»
15 years 11 months ago
BIDE: Efficient Mining of Frequent Closed Sequences
Previous studies have presented convincing arguments that a frequent pattern mining algorithm should not mine all frequent patterns but only the closed ones because the latter lea...
Jianyong Wang, Jiawei Han
ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
CIKM
2005
Springer
15 years 3 months ago
On the estimation of frequent itemsets for data streams: theory and experiments
In this paper, we devise a method for the estimation of the true support of itemsets on data streams, with the objective to maximize one chosen criterion among {precision, recall}...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...