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On Closed Constrained Frequent Pattern Mining
Fourth IEEE International Conference on Data Mining (ICDM'04), 2005Constrained frequent patterns and closed frequent patterns are two paradigms aimed at reducing the set of extracted patterns to a smaller, more interesting, subset. Although a lot of work has been done with both these paradigms, there is still confusion around the mining problem obtained by joining closed and constrained frequent patterns in a unique ...
Bonchi F, Lucchese C
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Mining Frequent Ordered Patterns
2005Mining frequent patterns has been studied popularly in data mining research. All of previous studies assume that items in a pattern are unordered. However, the order existing between items must be considered in some applications. In this paper, we first give the formal model of ordered patterns and discuss the problem of mining frequent ordered ...
Zhi-Hong Deng 0001 +3 more
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MRFP: Discovery Frequent Patterns Using MapReduce Frequent Pattern Growth
2016 International Conference on Network and Information Systems for Computers (ICNISC), 2016In this paper, a novelty of a new method has been presented. MRFP-Growth is implementing to solve the problem of discovering frequent patterns with massive datasets. Most of the frequent patterns algorithms are unable to manipulate with the large datasets, our scheme implement FP-Growth method under MapReduce framework in Hadoop platform to decrease ...
Arkan A. G. Al-Hamodi, Songfeng Lu
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Essential Patterns: A Perfect Cover of Frequent Patterns
2005The 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
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The Combinations of Frequent Pattern Tree and Candidate Generation for Mining Frequent Patterns
2008 Second International Conference on Future Generation Communication and Networking Symposia, 2008Many 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
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Discovering Frequent Patterns to Bootstrap Trust
2013When 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
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Incremental frequent itemsets mining based on frequent pattern tree and multi-scale
Expert Systems With Applications, 2021Yaling Xun, Xiaohui Cui, Jifu Zhang
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Identification of adverse disease agents and risk analysis using frequent pattern mining
Information Sciences, 2021Shafiul Alom Ahmed, Bhabesh Nath
exaly