计算机工程 ›› 2010, Vol. 36 ›› Issue (10): 50-51.doi: 10.3969/j.issn.1000-3428.2010.10.016

• 软件技术与数据库 • 上一篇    下一篇

基于抗体选择策略的克隆挖掘算法

詹 芹   

  1. (九江学院信息科学与技术学院,九江 332005)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-05-20 发布日期:2010-05-20

Clonal Mining Algorithm Based on Antibodies Selection Strategy

ZHAN Qin   

  1. (School of Information Science and Technology, Jiujiang University, Jiujiang 332005)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-05-20 Published:2010-05-20

摘要: 针对如何有效地利用大量的原始数据分析现状来预测未来的问题,基于抗体选择策略提出一种克隆选择挖掘算法。通过评估抗体的支持度、可信度和亲和度,求得有效的关联规则。实验结果表明,该算法能较快地获得可理解的规则,并且具有较高的准确率。

关键词: 数据挖掘, 关联规则, 抗体, 克隆选择算法, 克隆选择挖掘算法

Abstract: For how to utilize the huge original data to analyse the current situation and predict the future effectively, based on the antibodies selection strategy, this paper brings forward a clonal selection mining algorithm. The algorithm evaluates the degree of support, confidence and affinity, and thus achieves effective association rules. Experiments confirm that this algorithm gets the understandable rules faster and better in terms of the average precision rate.

Key words: data mining, association rule, antibodies, clonal selection algorithm, clonal selection mining algorithm

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