Affiliation:
1. IBM T. J. Watson Research Center, Yorktown Heights, NY
Abstract
This paper discusses the problem of long pattern generation in dense databases. In recent years, there has been an increase of interest in techniques for maximal pattern generation. We present a survey of this class of methods for long pattern generation which differ considerably from the level-wise approach of traditional methods. Many of these techniques are rooted in combinatorial tricks which can be applied only when the generation of frequent patterns is not forced to be level wise. We present an overview of the different kinds of methods which can be used in order to improve the counting and search space exploration methods for long patterns.
Publisher
Association for Computing Machinery (ACM)
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Rare pattern mining: challenges and future perspectives;Complex & Intelligent Systems;2018-11-10
2. EXPEDITE: EXPress closED ITemset Enumeration;Expert Systems with Applications;2015-05
3. An Analytical Survey of Current Approaches to Mining Logical Rules from Data;Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems;2013
4. Frequent item set mining;Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery;2012-10-18
5. PADS: a simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining;Knowledge and Information Systems;2008-11-14