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Essential Patterns: A Perfect Cover of Frequent Patterns

2005
The extraction of frequent patterns often yields extremely voluminous results which are difficult to handle. Computing a concise representation or cover of the frequent pattern set is thus an interesting alternative investigated by various approaches. The work presented in this article fits in such a trend. We introduce the concept of essential pattern
Alain Casali   +2 more
openaire   +1 more source

The Combinations of Frequent Pattern Tree and Candidate Generation for Mining Frequent Patterns

2008 Second International Conference on Future Generation Communication and Networking Symposia, 2008
Many approaches have been proposed for mining frequent pattern. However, either the search space or memory space is huge, such that the performance for the previous approach degrades when the database is massive or the threshold for mining frequent patterns is low. In this paper, we propose an algorithm for mining frequent patterns.
Show-Jane Yen   +3 more
openaire   +1 more source

Discovering Frequent Patterns to Bootstrap Trust

2013
When a new agent enters to an open multiagent system, bootstrapping its trust becomes a challenge because of the lack of any direct or reputational evidence. To get around this problem, existing approaches assume the same a priori trust for all newcomers.
Murat Sensoy   +2 more
openaire   +2 more sources

Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases

Electronics, 2021
Ravikumar Penugonda   +2 more
exaly  

A novel approach for mining maximal frequent patterns

Expert Systems With Applications, 2017
Bay Vo, Tuong Le, Zhi-Hong Deng
exaly  

An efficient and effective algorithm for mining top-rank- frequent patterns

Expert Systems With Applications, 2015
Bay Vo, Bac Le, Tuong Le
exaly  

Fast mining -- frequent patterns by using Node-lists

Expert Systems With Applications, 2014
Zhi-Hong Deng
exaly  

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