Adaptive Classification with Jumping Emerging Patterns

摘要：

In this paper a generic adaptive classification scheme based on a classifier with reject option is proposed.A testing set is considered iteratively,accepted,semi-labeled cases are used to modify the underlying hypothesis and improve its accuracy for rejected ones.We apply our approach to classification with jumping emerging patterns (JEPs).Two adaptive versions of JEP-Classifier,by support adjustment and by border recomputation,are discussed.An adaptation condition is formulated after distance and ambiguity rejection strategies for probabilistic classifiers.The behavior of the method is tested against real-life datasets.

关键词： jumping emerging pattern adaptive classification classification with reject option transaction database local reduct rough set

作者: Pawel Terlecki Krzysztof Walczak

作者单位: Institute of Computer Science,Warsaw University of Technology,Nowowiejska 15/19,00-665 Warsaw,Poland

会议类型: 国际会议

会议名称: The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

会议地点: 成都

会议语种:英文

页码: 39-46

在线出版日期: 2008-05-17（万方平台首次上网日期，不代表论文的发表时间）