Efficient Algorithms for Mining Frequent Patterns from Sparse and Dense Databases

Efficient Algorithms for Mining Frequent Patterns from Sparse and Dense Databases

In this article, we present a new approach for frequent pattern mining (FPM) that runs fast for both sparse and dense databases. Two algorithms, FEM and DFEM, based on our approach are also introduced. FEM applies a fixed threshold as the condition for switching between the two mining strategies; me...

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Bibliographic Details
Main Authors: Vu Lan, Alaghband Gita
Format: Article
Language:English
Published: De Gruyter 2015-06-01
Series:Journal of Intelligent Systems
Subjects:
data mining
frequent pattern mining
association rule mining
frequent itemset
transactional database
62-07
68p99
97r50
Online Access:https://doi.org/10.1515/jisys-2014-0040

Internet

https://doi.org/10.1515/jisys-2014-0040

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