45 search results - page 1 / 9 » Discovering Frequent Itemsets in the Presence of Highly Freq... |
INAP
2001
Springer
13 years 9 months ago
2001
Springer
This paper presents new techniques for focusing the discoveryof frequent itemsets within large, dense datasets containing highly frequent items. The existence of highly frequent i...
KDD
2001
ACM
14 years 4 months ago
2001
ACM
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
DAWAK
2004
Springer
13 years 10 months 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...
KDD
2008
ACM
14 years 4 months ago
2008
ACM
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
RCIS
2010
13 years 2 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...