APPLYING SUPPORT VECTOR MACHINE AND FEATURE SELECTION TO CHINESE PCB R&D DOCUMENT CLASSIFICATION AND RETRIEVAL

CHUR > College of Management > Department of Business Administration > Seminar Papers > Item 987654321/28356

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/28356

Title:	APPLYING SUPPORT VECTOR MACHINE AND FEATURE SELECTION TO CHINESE PCB R&D DOCUMENT CLASSIFICATION AND RETRIEVAL
Authors:	莊英慎 Juang, Ying-Shen
Contributors:	企業管理學系 Business Administration
Keywords:	─ Support Vector Machine (SVM);Future Selection;Printed Circuit Board (PCB);Document Classification
Date:	2012
Issue Date:	2014-06-26 23:56:44 (UTC+8)
Abstract:	─ The operation of product research and development (R&D) is relatively essential for a technology company. R&D knowledge is typically presented as documents, either in paper or electronic forms. Handling knowledge generated from the R&D processes is diffic
Appears in Collections:	[Department of Business Administration] Seminar Papers

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