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» Mining Very Large Databases
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PARCO
1997
13 years 11 months ago
Parallel Database Techniques in Decision Support and Data Mining
During the last decade, all commercial database systems have included features for parallel processing into their products. This development has been driven by the fact that datab...
Andreas Reuter
DASFAA
2007
IEEE
220views Database» more  DASFAA 2007»
14 years 4 months ago
LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases
Sequential pattern mining is very important because it is the basis of many applications. Although there has been a great deal of effort on sequential pattern mining in recent year...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 10 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
KAIS
2006
164views more  KAIS 2006»
13 years 9 months ago
On efficiently summarizing categorical databases
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
Jianyong Wang, George Karypis