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» Mining Frequent Itemsets Using Genetic Algorithm
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DIS
2001
Springer
15 years 2 months ago
Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts
We propose a preprocessing method for Web mining which, given semi-structured documents with the same structure and style, distinguishes useless parts and non-useless parts in each...
Daisuke Ikeda, Yasuhiro Yamada, Sachio Hirokawa
ECML
2007
Springer
15 years 1 months ago
Finding Composite Episodes
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
Ronnie Bathoorn, Arno Siebes
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
15 years 4 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas
ESWA
2007
176views more  ESWA 2007»
14 years 9 months ago
Credit scoring with a data mining approach based on support vector machines
The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo