298 search results - page 2 / 60 » Summarizing itemset patterns using probabilistic models |
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
The purpose of extractive document summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a tar...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
MCS
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
PAKDD
2007
ACM
14 years 1 months ago
2007
ACM
Abstract. We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions whose items are associated with existential...
SAC
2006
ACM
14 years 1 months ago
2006
ACM
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...