148 search results - page 3 / 30 » Mining top-K frequent itemsets from data streams |
CIKM
2009
Springer
14 years 5 days ago
2009
Springer
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
FIMI
2004
13 years 7 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...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
CORR
2004
Springer
13 years 5 months ago
2004
Springer
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...