广西师范大学学报（自然科学版） ›› 2022, Vol. 40 ›› Issue (3): 13-30.doi: 10.16088/j.issn.1001-6600.2021071101

• 综述 • 上一篇    下一篇

面向复杂高效用模式的挖掘算法综述

李慕航, 韩萌*, 陈志强, 武红鑫, 张喜龙   

  1. 北方民族大学 计算机科学与工程学院, 宁夏 银川 750021
  • 收稿日期:2021-07-11 修回日期:2021-09-09 出版日期:2022-05-25 发布日期:2022-05-27
  • 通讯作者: 韩萌(1982—), 女(回族), 河南商丘人, 北方民族大学教授, 博士。E-mail: 2003051@nmu.edu.cn
  • 基金资助:
    国家自然科学基金(62062004); 宁夏自然科学基金(2022AAC03279, 2020AAC03216)

Survey of Algorithms Oriented to Complex High Utility Pattern Mining

LI Muhang, HAN Meng*, CHEN Zhiqiang, WU Hongxin, ZHANG Xilong   

  1. School of Computer Science and Engineering, North Minzu University, Yinchuan Ningxia 750021, China
  • Received:2021-07-11 Revised:2021-09-09 Online:2022-05-25 Published:2022-05-27

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摘要： 复杂高效用模式挖掘是当前研究的一个新兴主题。本文首次从高效用融合模式和衍生模式2个角度进行讨论。首先,对于融合模式,根据数据结构的不同对高效用序列模式进行分类论述;按照时间顺序对高效用片段模式、周期高效用模式进行概述。针对衍生模式,从数据结构角度对高平均效用模式、带有负项的高效用模式、on-shelf高效用模式进行总结;从精简类型角度概述精简高效用模式,并对现有融合模式和衍生模式挖掘算法的优缺点、上边界等进行对比分析。最后,针对现阶段研究缺陷与不足,给出了下一步研究方向,包括不确定数据中的高效用模式挖掘方法、数据流上的高效用on-shelf模式挖掘方法和大数据环境下的并行高效用模式挖掘方法。

关键词: 综述, 模式挖掘, 复杂高效用模式, 高效用融合模式, 高效用衍生模式

Abstract: High utility complex pattern is a new topic in data mining. For the first time, the complex high utility pattern mining algorithms are reviewed from two perspectives: high utility integrated pattern and high utility derivative pattern. Firstly, high utility sequential pattern(HUSP) is classified and discussed according to different data structures; high utility episode pattern(HUEP) and periodic high utility pattern(PHUP) are summarized in chronological order. Secondlyly, for the derivative model, the high average utility pattern, the high-utility pattern with negative unit profits and high on-shelf utility pattern are summarized from the perspective of data structure; the concise high utility pattern is summarized from the perspective of concise types. Thirdly, the advantages and disadvantages and upper boundaries of the existing integrated pattern and derivative pattern mining algorithms are compared and analyzed. Finally, based on the current research deficiencies, further research direction is given, including high utility pattern mining in uncertain data, high utility on-shelf pattern mining over data stream, and parallel high utility pattern mining in a big data environment.

Key words: survey, pattern mining, complex high utility pattern, high utility integrated pattern, high utility derivative pattern

中图分类号: 

  • TP311.13
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