179 search results - page 5 / 36 » An Approximate Approach for Mining Recently Frequent Itemset... |
ICDM
2007
IEEE
14 years 3 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...
CORR
2004
Springer
13 years 8 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...
ADC
2008
Springer
14 years 3 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...
VLDB
2007
ACM
14 years 2 months ago
2007
ACM
Multi-core processors are proliferated across different domains in recent years. In this paper, we study the performance of frequent pattern mining on a modern multi-core machine....
CORR
2010
Springer
13 years 8 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...