313 search results - page 7 / 63 » Mining Frequent Itemsets in a Stream |
100
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ICDM
2005
IEEE
15 years 3 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 ...
PAKDD
2007
ACM
15 years 3 months ago
2007
ACM
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
87
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CORR
2010
Springer
14 years 9 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...
128
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FIMI
2004
14 years 11 months ago
2004
One of the main problems raising up in the frequent closed itemsets mining problem is the duplicate detection. In this paper we propose a general technique for promptly detecting ...
VLDB
2000
ACM
15 years 1 months ago
2000
ACM
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...