298 search results - page 2 / 60 » Summarizing itemset patterns using probabilistic models |
ICASSP
2008
IEEE
13 years 11 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
13 years 11 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
13 years 10 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
13 years 11 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
13 years 11 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...