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2009 Second International Symposium on Knowledge Acquisition and Modeling
Input Data Representation for Self-Organizing Map in Software Classification
Wuhan, China
November 30-December 01
ISBN: 978-0-7695-3888-4
| ASCII Text | x | ||
| Yuqing Lin, Huilin Ye, "Input Data Representation for Self-Organizing Map in Software Classification," Knowledge Acquisition and Modeling, International Symposium on, vol. 2, pp. 350-353, 2009 Second International Symposium on Knowledge Acquisition and Modeling, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/KAM.2009.151, author = {Yuqing Lin and Huilin Ye}, title = {Input Data Representation for Self-Organizing Map in Software Classification}, journal ={Knowledge Acquisition and Modeling, International Symposium on}, volume = {2}, year = {2009}, isbn = {978-0-7695-3888-4}, pages = {350-353}, doi = {http://doi.ieeecomputersociety.org/10.1109/KAM.2009.151}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Knowledge Acquisition and Modeling, International Symposium on TI - Input Data Representation for Self-Organizing Map in Software Classification SN - 978-0-7695-3888-4 SP350 EP353 A1 - Yuqing Lin, A1 - Huilin Ye, PY - 2009 KW - Self-Organizing Map KW - automatic indexing KW - software classification VL - 2 JA - Knowledge Acquisition and Modeling, International Symposium on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/KAM.2009.151
A self-organizing map (SOM) is used to classify software documents and the associated software components with the aim to facilitate software reuse. SOM learns from input stimuli rather than training data, therefore the quality of input data representation is crucial to the success of SOM. In this paper, we use automatic indexing method to represent a document collection as the input data to train a SOM. The automatic indexing uses a phrase formation method to promote precision and a domain dependent relational thesaurus to enhance recall. A retrieval experiment based on a document collection containing 97 Unix manual pages was conducted to evaluate the effectiveness of this input data representation scheme. Promising retrieval results were observed.
Index Terms:
Self-Organizing Map, automatic indexing, software classification
Citation:
Yuqing Lin, Huilin Ye, "Input Data Representation for Self-Organizing Map in Software Classification," kam, vol. 2, pp.350-353, 2009 Second International Symposium on Knowledge Acquisition and Modeling, 2009
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