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计算机工程 ›› 2011, Vol. 37 ›› Issue (8): 192-193.

• 人工智能及识别技术 • 上一篇    下一篇

机会发现中简单场景构造方法研究

张振亚 1a,程红梅1b,2a,张曙光2b   

  1. (1. 安徽建筑工业学院 a. 安徽省智能建筑重点实验室,b. 管理学院,合肥 230022;2. 中国科学技术大学 a. 管理学院,b. 统计金融系,合肥 230026)
  • 出版日期:2011-04-20 发布日期:2012-10-31
  • 作者简介:张振亚(1972-),男,副教授、博士,主研方向:机会发现,自然计算;程红梅,讲师、硕士研究生;张曙光,教授、博士生导师
  • 基金资助:

    国家“973”计划基金资助项目(2007CB814901);安徽省自然科学基金资助项目(090412069);安徽省高校自然科学研究基金资助重点项目(KJ2009A143)

Research on Approach of Simple Scenario Map Construction in Chance Discovery

ZHANG Zhen-ya 1a, CHENG Hong-mei 1b,2a, ZHANG Shu-guang 2b   

  1. (1a. Key Laboratory of Intelligent Building of Anhui Province, 1b. School of Management, Anhui University of Architecture, Hefei 230022, China; 2a. School of Management, 2b. Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China)
  • Online:2011-04-20 Published:2012-10-31

摘要:

场景构造是机会发现过程中的关键活动之一。对机会发现场景的结构进行形式化描述,提出基于布尔相关矩阵并利用聚类分析的方法构造事件簇,进而实现机会发现简单场景构造的思想并给出实现方法。对机会发现场景构造方法性能的评估进行探讨,明确以效率系数作为机会发现场景构造方法的评估标准。实验表明,该方法的效率系数较高。

关键词: 机会发现, 场景, 聚类分析, 相关矩阵

Abstract:

The construction of scenario map is one of key activities in the process of chance discovery. The formalization description of the structure of scenario map in chance discovery is presented. With this formalization description, the principle for the construction of event clusters in scenario map via clustering analysis based on Boolean correlation matrix and the construction of simple scenario map based on event clusters are given and the algorithm for the implementation of the principle is given. The evaluation criterion for the performance of methods for the construction of scenario map in chance discovery is discussed and efficiency coefficient is used as the criterion definitely. Experimental results show that the performance of the algorithm on the construction of simple scenario map is good with greater efficiency coefficient.

Key words: chance discovery, scenario map, cluster analysis, correlation matrix

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