Yusof, Yuhanis and Alhersh, Taha and Mahmuddin, Massudi and Mohamed Din, Aniza (2012) Classification of machine learning engines using latent semantic indexing. In: Knowledge Management International Conference (KMICe) 2012, 4 – 6 July 2012, Johor Bahru, Malaysia.

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Abstract

With the huge increase of software functionalities, sizes and application domain, the difficulty of categorizing and classifying software for information retrieval and maintenance purposes is on demand.This work includes the use of Latent Semantic Indexing (LSI) in classifying neural network and k-nearest neighborhood source code programs. Functional descriptors of each program are identified by extracting terms contained in the source code.In addition, information on where the terms are extracted from is also incorporated in the LSI.Based on the undertaken experiment, the LSI classifier is noted to generate a higher precision and recall compared to the C4.5 algorithm as provided in the Weka tool.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 9789832078661 Organized by: UUM College of Art & Sciences, Universiti Utara Malaysia
Uncontrolled Keywords:	Latent Semantic Indexing, Software Classification; C4.5,Machine Learning Algorithms
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Dr. Yuhanis Yusof
Date Deposited:	04 May 2014 11:02
Last Modified:	25 May 2015 03:23
URI:	https://repo.uum.edu.my/id/eprint/10947

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