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Volumn , Issue , 2007, Pages 299-302

Growing hierarchical self-organizing maps for web mining

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONFORMAL MAPPING; INFORMATION SERVICES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAPS; MINING; OPTICAL PROJECTORS; ROBOT LEARNING; SEARCH ENGINES; WEATHER SATELLITES;

EID: 48349106279     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2007.63     Document Type: Conference Paper
Times cited : (4)

References (15)
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    • Dittenbach, M.1    Rauber, A.2    Merkl, D.3
  • 2
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    • Georgakis, A.1    Kotropoulos, C.2    Xafopoulos, A.3    Pitas, I.4
  • 3
    • 26844505519 scopus 로고    scopus 로고
    • A game-theoretic approach to competitive learning in self-organizing maps
    • International Conference on Natural Computation, 3610
    • J. Herbert and J. T. Yao, "A game-theoretic approach to competitive learning in self-organizing maps," in International Conference on Natural Computation, vol. 1, 2005, pp. 129-138, LNCS 3610.
    • (2005) LNCS , vol.1 , pp. 129-138
    • Herbert, J.1    Yao, J.T.2
  • 4
    • 84972959209 scopus 로고
    • Parallel self-organizing feature maps for unsupervised pattern recognition
    • T. L. Huntsberger and P. Ajjimarangsee, "Parallel self-organizing feature maps for unsupervised pattern recognition," International Journal of General Systems, vol. 16, no. 4, pp. 357-372, 1990.
    • (1990) International Journal of General Systems , vol.16 , Issue.4 , pp. 357-372
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  • 6
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    • (1981) Proceedings of the Scandinavian Conference on Image Analysis , pp. 214-220
    • Kohonen, T.1
  • 7
    • 0001781295 scopus 로고    scopus 로고
    • Web mining research: A survey
    • R. Kosala and H. Blockeel, "Web mining research: A survey," SIGKDD Explorations, vol. 2, no. 1, pp. 1-15, 2000.
    • (2000) SIGKDD Explorations , vol.2 , Issue.1 , pp. 1-15
    • Kosala, R.1    Blockeel, H.2
  • 9
    • 30744467669 scopus 로고    scopus 로고
    • A support vector machines classifier to assess the severity of idiopathic scoliosis from surface topography
    • L. Ramirez, N. G. Durdle, V. J. Raso, and D. L. Hill, "A support vector machines classifier to assess the severity of idiopathic scoliosis from surface topography," IEEE Transactions on Information Technology in Biomedicine, vol. 10, no. 1, pp. 84-91, 2006.
    • (2006) IEEE Transactions on Information Technology in Biomedicine , vol.10 , Issue.1 , pp. 84-91
    • Ramirez, L.1    Durdle, N.G.2    Raso, V.J.3    Hill, D.L.4
  • 10
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    • The growing hierarchical self-organizing map: Exploratory analysis of high-dimensional data
    • A. Rauber, D. Merkl, and M. Dittenbach, "The growing hierarchical self-organizing map: Exploratory analysis of high-dimensional data," IEEE Transactions on Neural Networks, vol. 13, no. 6, pp. 1331-1341, 2002.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.6 , pp. 1331-1341
    • Rauber, A.1    Merkl, D.2    Dittenbach, M.3
  • 12
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    • Hierarchical overlapped som's for pattern classification
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.