Title :
Mathematical Document Retrieval for Problem Solving
Author :
Samarasinghe, Sidath Harshanath ; Hui, Siu Cheung
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Abstract :
Solving mathematical problems is both challenging and difficult for many students. This paper proposes a document retrieval approach to help solve mathematical problems. The proposed approach is based on Kohonenpsilas 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.
Keywords :
computer aided instruction; data mining; mathematics computing; pattern clustering; query processing; self-organising feature maps; Kohonen self-organizing map; data clustering; data mining; mathematical document database; mathematical document retrieval; problem solving; query problem; Artificial intelligence; Clustering algorithms; Data engineering; Data mining; Databases; Neural networks; Partitioning algorithms; Problem-solving; Search engines; Self organizing feature maps; Artificial Intelligence; Data Mining; Knowledge Data Engineering;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.69
