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» Reducing the Frequent Pattern Set
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ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
14 years 2 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...
HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
14 years 1 months ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
EDBT
2009
ACM
170views Database» more  EDBT 2009»
13 years 11 months ago
Efficient constraint evaluation in categorical sequential pattern mining for trajectory databases
The classic Generalized Sequential Patterns (GSP) algorithm returns all frequent sequences present in a database. However, usually a few ones are interesting from a user's po...
Leticia I. Gómez, Alejandro A. Vaisman
SYRCODIS
2007
99views Database» more  SYRCODIS 2007»
13 years 9 months ago
Association Rules Discovery in Multivariate Time Series
A problem of association rules discovery in a multivariate time series is considered in this paper. A method for finding interpretable association rules between frequent qualitati...
Elena Lutsiv
ICDM
2005
IEEE
157views Data Mining» more  ICDM 2005»
14 years 1 months ago
Blocking Anonymity Threats Raised by Frequent Itemset Mining
In this paper we study when the disclosure of data mining results represents, per se, a threat to the anonymity of the individuals recorded in the analyzed database. The novelty o...
Maurizio Atzori, Francesco Bonchi, Fosca Giannotti...