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AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
15 years 6 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
Faten Khalil, Jiuyong Li, Hua Wang
DASFAA
2006
IEEE
168views Database» more  DASFAA 2006»
15 years 6 months ago
COWES: Clustering Web Users Based on Historical Web Sessions
Clustering web users is one of the most important research topics in web usage mining. Existing approaches cluster web users based on the snapshots of web user sessions. They do no...
Ling Chen 0002, Sourav S. Bhowmick, Jinyan Li
DAWAK
2006
Springer
15 years 6 months ago
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
Ahmed HajYasien, Vladimir Estivill-Castro
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
15 years 6 months ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast
GFKL
2006
Springer
89views Data Mining» more  GFKL 2006»
15 years 6 months ago
The Relationship of Word Length and Sentence Length: The Inter-Textual Perspective
The present study concentrates on the relation between sentence length (SL) and word length (WL) as a possible factor in text classification. The dependence of WL and SL is discuss...
Peter Grzybek, Ernst Stadlober, Emmerich Kelih
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