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DASFAA
2008
IEEE
137views Database» more  DASFAA 2008»
13 years 9 months ago
Efficient Mining of Recurrent Rules from a Sequence Database
We study a novel problem of mining significant recurrent rules from a sequence database. Recurrent rules have the form "whenever a series of precedent events occurs, eventuall...
David Lo, Siau-Cheng Khoo, Chao Liu 0001
ICDM
2006
IEEE
115views Data Mining» more  ICDM 2006»
14 years 1 months ago
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficien...
Yuefeng Li, Wanzhong Yang, Yue Xu
ADMA
2008
Springer
186views Data Mining» more  ADMA 2008»
14 years 1 months ago
A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Chunhua Su, Kouichi Sakurai
VLDB
2002
ACM
123views Database» more  VLDB 2002»
13 years 7 months ago
Maintaining Data Privacy in Association Rule Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. We investigate here,...
Shariq Rizvi, Jayant R. Haritsa
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 2 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...