高效用频繁模式挖掘技术研究  

Technology Research on High Utility Frequent Patterns Mining

作　　者：李同轩 董祥军[1] 

机构地区：[1]齐鲁工业大学信息学院,济南250353

出　　处：《齐鲁工业大学学报》2017年第1期45-50,共6页Journal of Qilu University of Technology

基　　金：国家自然科学基金(71271125)

摘　　要：与传统的频繁模式挖掘相比,高效用模式可以挖掘出具有更高效用价值的模式,提供更丰富的决策信息,其研究也日益受到关注,一些算法也相继提出。为了更好地了解该领域的研究状况,本文对高效用频繁模式挖掘技术进行了综述。首先介绍了效用模式的相关概念;然后,分高效用频繁项集挖掘和高效用序列模式挖掘两个方面详细研究了目前已经提出的挖掘算法。本文对研究人员更好地掌握现有算法并在此基础上提出更好的算法有着重要参考价值。Compared with the classic frequent patterns mining, the utility patterns mining can mine higher utility patterns, and provide more informative and actionable knowledge to decision-making information, so the high utility patterns mining has emerged and the related algorithms are proposed. Therefore, this paper summarized the high utility frequent patterns mining. Firstly, utility framework and the related definitions were introduced.Then the high utility frequent itemsets mining and the high utility sequential patterns mining were introduced and their related algorithms have been proposed.In this paper, the researchers can better understand the existing algorithm and they can put forward better algorithm on the basis of the proposed algorithms.

关 键 词：效用模式 频繁项集 序列模式 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]