313 search results - page 33 / 63 » Mining Frequent Itemsets in a Stream |
ADMA
2005
Springer
13 years 8 months ago
2005
Springer
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
ICDE
2003
IEEE
14 years 8 months ago
2003
IEEE
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
CORR
2008
Springer
13 years 6 months ago
2008
Springer
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
KDD
1997
ACM
13 years 10 months ago
1997
ACM
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...