148 search results - page 6 / 30 » Mining top-K frequent itemsets from data streams |
APPINF
2003
13 years 10 months ago
2003
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...
IDA
2008
Springer
13 years 8 months ago
2008
Springer
We study the problem of finding frequent items in a continuous stream of itemsets. A new frequency measure is introduced, based on a flexible window length. For a given item, its ...
DMIN
2007
13 years 10 months ago
2007
- Several algorithms have been introduced for mining frequent itemsets. The recent datasettransformation approach suffers either from the possible increasing in the number of struc...
DAWAK
2004
Springer
14 years 1 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...
ISMIS
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. Frequent itemset mining can be regarded as advanced database querying where a user specifies the dataset to be mined and constraints to be satisfied by the discovered i...