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Volumn 109, Issue 5, 2009, Pages 708-717

Text classification: Neural networks vs support vector machines

Author keywords

Artificial intelligence; Classification; Document management; Knowledge management; Neural nets

Indexed keywords

CLASSIFICATION; CLASSIFICATION TOOL; COMPUTATION TIME; DESIGN/METHODOLOGY/APPROACH; DOCUMENT MANAGEMENT; NEURAL NETS; REDUCED SIZE; SUB-AREAS; TEXT CLASSIFICATION; TEXT CLASSIFIERS; TEXT DOCUMENT; TEXT MINING;

EID: 67650695204     PISSN: 02635577     EISSN: None     Source Type: Journal    
DOI: 10.1108/02635570910957669     Document Type: Article
Times cited : (36)

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  • 3
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  • 5
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  • 8
    • 0030651099 scopus 로고    scopus 로고
    • Feature selection, perceptron learning, and a usability case study for text categorisation
    • Philadelphia, PA, pp
    • Ng, H.T., Goh, W.B. and Low, K.L. (1997), "Feature selection, perceptron learning, and a usability case study for text categorisation", Proceedings of the 20th Annual International ACM SIGIR Conference, Philadelphia, PA, pp. 67-73.
    • (1997) Proceedings of the 20th Annual International ACM SIGIR Conference , pp. 67-73
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  • 9
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    • Machine learning in automated text categorisation
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  • 10
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  • 12
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    • A knowledge management approach to data mining process for business intelligence
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  • 14
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    • Text mining using neural networks
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    • Zaghloul, W.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.