Sciweavers

490 search results - page 4 / 98
» Association rules mining using heavy itemsets
Sort
View
APWEB
2005
Springer
13 years 11 months ago
A Fast Algorithm for Mining Share-Frequent Itemsets
Itemset share has been proposed as a measure of the importance of itemsets for mining association rules. The value of the itemset share can provide useful information such as total...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
13 years 11 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
13 years 11 months ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 5 months ago
Mining Frequent Itemsets from Secondary Memory
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
Gösta Grahne, Jianfei Zhu
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 3 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat