An Incremental Attribute Reduction Approach with Concept Lattice for ALDD

摘要：

As an effective tool for knowledge discovery, concept lattice has been successfully applied to various fields. One of the key problems of knowledge discovery is knowledge reduction. The existing work on attribute reduction has not focused on aquatic lives disease diagnosis (ALDD).This paper describes an improved incremental approach of attribute reduction in concept lattice for ALDD. Firstly, the main definition of the concept lattice is introduced. Secondly, the attributes within the framework of equivalence classes are discussed. Finally, the incremental algorithm of attribute reduction in concept lattice for ALDD is presented. Based on the algorithm, we can easily diagnose the aquatic lives diseases. The examples results validate the effectiveness of approach.

关键词： concept lattice attribute reduction equivalence classes KDD

作者: Yuan Hong-chun Wang Yan-hua Wang De-xing

作者单位: College of Information, Shanghai Ocean University Shanghai, 201306, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 607-610

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）