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» Application of Fuzzy Rule Induction to Data Mining
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ICDE
2005
IEEE
176views Database» more  ICDE 2005»
15 years 3 months ago
LAPIN-SPAM: An Improved Algorithm for Mining Sequential Pattern
Sequence pattern mining is an important research problem because it is the basis of many other applications. Yet how to efficiently implement the mining is difficult due to the ...
Zhenglu Yang, Masaru Kitsuregawa
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 1 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
IFIP12
2008
14 years 11 months ago
Agent Based Frequent Set Meta Mining: Introducing EMADS
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of ...
Kamal Ali Albashiri, Frans Coenen, Paul H. Leng
GRC
2010
IEEE
14 years 10 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo
DLOG
2009
14 years 7 months ago
What Happened to Bob? Semantic Data Mining of Context Histories
We report on event recognition within the life logging application IYOUIT for the automatic creation of static diary-like Blogs. Based on the qualitative context histories produced...
Michael Wessel, Marko Luther, Ralf Möller