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ICDM
2002
IEEE
132views Data Mining» more  ICDM 2002»
13 years 9 months ago
Speed-up Iterative Frequent Itemset Mining with Constraint Changes
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
Gao Cong, Bing Liu
VLDB
2007
ACM
204views Database» more  VLDB 2007»
13 years 11 months ago
Optimization of Frequent Itemset Mining on Multiple-Core Processor
Multi-core processors are proliferated across different domains in recent years. In this paper, we study the performance of frequent pattern mining on a modern multi-core machine....
Eric Li, Li Liu
JIS
2006
105views more  JIS 2006»
13 years 4 months ago
Automated support specification for efficient mining of interesting association rules
In recent years, the weakness of the canonical support-confidence framework for associations mining has been widely studied. One of the difficulties in applying association rules ...
Wen-Yang Lin, Ming-Cheng Tseng
DAWAK
2009
Springer
13 years 8 months ago
TidFP: Mining Frequent Patterns in Different Databases with Transaction ID
Since transaction identifiers (ids) are unique and would not usually be frequent, mining frequent patterns with transaction ids, showing records they occurred in, provides an effic...
C. I. Ezeife, Dan Zhang
DATAMINE
2006
142views more  DATAMINE 2006»
13 years 4 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010