388 search results - page 1 / 78 » Mining Frequent Itemsets Using Support Constraints |
VLDB
2000
ACM
13 years 11 months ago
2000
ACM
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...
ICDM
2002
IEEE
14 years 12 days 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...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
DAWAK
2004
Springer
14 years 26 days ago
2004
Springer
Abstract. In this paper, we propose a novel mining task: mining frequent superset from the database of itemsets that is useful in bioinformatics, e-learning systems, jobshop schedu...