94 search results - page 10 / 19 » Efficient Frequent Itemsets Mining by Sampling |
KAIS
2008
14 years 9 months ago
2008
A complete set of frequent itemsets can get undesirably large due to redundancy when the minimum support threshold is low or when the database is dense. Several concise representat...
PPOPP
2005
ACM
15 years 3 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
KDD
2008
ACM
15 years 9 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 ...
LWA
2004
14 years 10 months ago
2004
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...