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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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Mining Condensed Frequent-Pattern Bases
Knowledge and Information Systems, 2004Frequent-pattern mining has been studied extensively and has many useful applications. However, frequent-pattern mining often generates too many patterns to be truly efficient or effective. In many applications, it is sufficient to generate and examine frequent patterns with a sufficiently good approximation of the support frequency instead of in full ...
Jian Pei, Guozhu Dong, Jiawei Han
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The Studies of Mining Frequent Patterns Based on Frequent Pattern Tree
2009Mining frequent patterns is to discover the groups of items appearing always together excess of a user specified threshold. 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 ...
Show-Jane Yen +4 more
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Mining Frequent Independent Patterns and Frequent Correlated Patterns Synchronously
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008One of the main tasks of KDTCM (knowledge discovery in Traditional Chinese Medicine) is discovering novel paired or grouped drugs in Chinese Medical Formula (CMF) database, which are special combinations of two or more drugs. Correlation mining is much effective because of the large number of correlation relationships among various kinds of drugs ...
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Constrained frequent pattern mining
ACM SIGKDD Explorations Newsletter, 2002It has been well recognized that frequent pattern mining plays an essential role in many important data mining tasks. However, frequent pattern mining often generates a very large number of patterns and rules, which reduces not only the efficiency but also the effectiveness of mining.
Jian Pei 0001, Jiawei Han 0001
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Mining Maximal Frequent Itemsets with Frequent Pattern List
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007Mining frequent itemsets is a major aspect of association rule research. However, the mining of the complete of frequent itemsets will lead to a huge number of itemsets. Fortunately, this problem can be reduced to the mining of maximal frequent itemsets.
Jin Qian, Feiyue Ye
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Frequent tree pattern mining: A survey
Intelligent Data Analysis, 2010The use of non-linear data structures is becoming more and more common in many data mining scenarios. Trees, in particular, have drawn the attention of researchers as the simplest of non-linear data structures. Many tree mining algorithms have been proposed in the literature and this paper surveys some of the recent work that has been performed in this
Aída Jiménez +2 more
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2014
This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the
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This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the
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Probabilistic Frequent Pattern Mining by PUH-Mine
2015To mine frequent itemsets from uncertain data, many existing algorithms rely on expected support based mining. An alternative approach relies on probabilistic based mining, which captures the frequentness probability. While the possible world semantics are widely used, the exponential growth of possible worlds makes the probabilistic based mining ...
Wenzhu Tong +3 more
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Mining Frequent Patterns From Sequences
Proceedings of the 2013 2nd International Conference on Intelligent System and Applied Material, 2011Pattern mining is a popular issue in biological sequence analysis. In this paper, we propose new definitions related to the pattern frequency, where gaps are mined instead of specified. We develop algorithm with polynomial complexities. Patterns can grow from both sides, and Apriori property holds.
null Junyan Zhang, null Fan Min
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