Sciweavers

60 search results - page 3 / 12
» Mining Multi-Level Frequent Itemsets under Constraints
Sort
View
ICDM
2007
IEEE
180views Data Mining» more  ICDM 2007»
13 years 11 months ago
Mining Frequent Itemsets in a Stream
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
Toon Calders, Nele Dexters, Bart Goethals
PAKDD
2007
ACM
148views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Mining Frequent Itemsets from Uncertain Data
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...
Chun Kit Chui, Ben Kao, Edward Hung
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
13 years 6 months ago
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
Jianyong Wang, George Karypis
JDCTA
2010
225views more  JDCTA 2010»
13 years 2 days ago
Multi-Level Weighted Sequential Pattern Mining Based on Prime Encoding
Encoding can express the hierarchical relationship in the area of mining the multi-level sequential pattern, up to now all the algorithms of which find frequent sequences just acc...
Yun Li, Lianglei Sun, Jiang Yin, Wenyan Bao, Mengy...
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
13 years 11 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
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...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...