58 search results - page 2 / 12 » A survey on algorithms for mining frequent itemsets over dat... |
KDD
2003
ACM
14 years 5 months ago
2003
ACM
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
JIIS
2008
13 years 4 months ago
2008
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
ADC
2008
Springer
13 years 11 months ago
2008
Springer
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...