3 search results - page 1 / 1 » Speed-up Iterative Frequent Itemset Mining with Constraint C... |
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
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...
FIMI
2004
13 years 6 months ago
2004
In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which ...
HICSS
2003
IEEE
13 years 10 months ago
2003
IEEE
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...