Mathematical Document Retrieval for Problem Solving
Computer Engineering and Technology, 2009. ICCET '09. International Conference（2009）
摘要
Solving mathematical problems is both challenging anddifficult for many students. This paper proposes a documentretrieval approach to help solve mathematical problems. Theproposed approach is based on Kohonen’s Self-Organizing Maps for data clustering of similar mathematical documents from a mathematical document database. Based on a user query problem, similar mathematical documents with their associated solutions are retrieved in order to provide hints or solutions on solving the user problem. In this paper, we will discuss the proposed mathematical document retrieval approach. The performance of the proposed approach will also be presented in comparison with other clustering techniques.
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关键词
user query problem,mathematical document database,documentretrieval approach,theproposed approach,proposed mathematical document retrieval,clustering technique,user problem,mathematical problem,similar mathematical document,mathematical document retrieval,document retrieval,artificial intelligent,clustering algorithms,data clustering,manganese,artificial intelligence,feature extraction,databases,data mining
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