288 search results - page 2 / 58 » Estimating the number of frequent itemsets in a large databa... |
RCIS
2010
13 years 3 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,...
FIMI
2004
13 years 6 months ago
2004
: For a transaction database, a frequent itemset is an itemset included in at least a specified number of transactions. A frequent itemset P is maximal if P is included in no other...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
KDD
2001
ACM
14 years 5 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...
ICDE
2003
IEEE
14 years 6 months ago
2003
IEEE
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...