Results 231 to 240 of about 1,878,751 (279)

Generating Frequent Patterns with the Frequent Pattern List

2001
The generation of frequent patterns (or frequent itemsets) has been studied in various areas of data mining. Most of the studies take the Apriori-based generation-and-test approach, which is computationally costly in the generation of candidate frequent patterns.
Fan-Chen Tseng, Ching-Chi Hsu
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Mining Frequent Independent Patterns and Frequent Correlated Patterns Synchronously

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
One 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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Mining Frequent Patterns From Sequences

Proceedings of the 2013 2nd International Conference on Intelligent System and Applied Material, 2011
Pattern 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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Understanding Frequent Switching Patterns

Journal of Service Research, 2007
Given the growing competition in the global market, it is becoming increasingly important for companies to retain their existing customers, that is, to preempt frequent switching. A fruitful way of gaining knowledge about customers' switching behavior is to examine the role of various factors in their switching processes. This qualitative study, based
Inger Roos, Anders Gustafsson
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Frequent Pattern Mining

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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Frequent Offenders and Patterns of Injury

Clinics in Liver Disease, 2020
Given the liver's role in drug metabolism, it is uniquely sensitive to potential drug-induced liver injury (DILI) despite inherent protective mechanisms. In this article, we focus on the most common causes of DILI and their patterns of injury. Although not comprehensive, we attempt to cover several classes of commonly used drugs, and their associated ...
Jinyu, Zhang, Deepak, Venkat
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Classification Based upon Frequent Patterns

2001
In this paper a new classification algorithm based upon frequent patterns is proposed. A frequent pattern is a generalization of the concept of a frequent item set, used in association rule mining. First of all, the collection of frequent patterns in the training set is constructed.
Pijls, Wim, Potharst, Rob
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Summarizing probabilistic frequent patterns

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013
Mining probabilistic frequent patterns from uncertain data has received a great deal of attention in recent years due to the wide applications. However, probabilistic frequent pattern mining suffers from the problem that an exponential number of result patterns are generated, which seriously hinders further evaluation and analysis.
Chunyang Liu, Ling Chen, Chengqi Zhang
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Constrained frequent pattern mining

ACM SIGKDD Explorations Newsletter, 2002
It 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, Jiawei Han
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The Studies of Mining Frequent Patterns Based on Frequent Pattern Tree

2009
Mining 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, Yue-Shi Lee, Chiu-Kuang Wang, Jung-Wei Wu, Liang-Yu Ouyang   +4 more
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