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» Mining Frequent Itemsets Using Support Constraints
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 9 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
14 years 6 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
14 years 9 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
DAWAK
2009
Springer
14 years 1 months ago
Mining Violations to Relax Relational Database Constraints
Frequent constraint violations on the data stored in a database may suggest that the semantics of the represented reality is changing. In this work we propose a methodology and a t...
Mirjana Mazuran, Elisa Quintarelli, Rosalba Rossat...
KDD
2002
ACM
196views Data Mining» more  KDD 2002»
14 years 9 months ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler