文章基本信息

标题：Combining Decision Trees and K-NN for Case-Based Planning
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作者：Sofia Benbelkacem ; Baghdad Atmani ; Mohamed Benamina 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2014
卷号：4
期号：11
页码：115-122
DOI：10.5121/csit.2014.41112
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In everyday life, we are often faced with similar problems which we resolve with ourexperience. Case-based reasoning is a paradigm of problem solving based on past experience.Thus, case-based reasoning is considered as a valuable technique for the implementation ofvarious tasks involving solving planning problem. Planning is considered as a decision supportprocess designed to provide resources and required services to achieve specific objectives,allowing the selection of a better solution among several alternatives. However, we propose toexploit decision trees and k-NN combination to choose the most appropriate solutions. In aprevious work [1], we have proposed a new planning approach guided by case-based reasoningand decision tree, called DTR, for case retrieval. In this paper, we use a classifier combinationfor similarity calculation in order to select the best solution to the target case. Thus, the use ofthe decision trees and k-NN combination allows improving the relevance of results and findingthe most relevant cases.
关键词：Case-Based Reasoning; Classifier Combination; Data Mining; Case Retrieval; Decision Tree;Planning