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Volumn 178, Issue , 2008, Pages 147-151

A method for classifying vertices of labeled graphs applied to knowledge discovery from molecules

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH THEORY; LEARNING SYSTEMS;

EID: 77649211266     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-58603-891-5-147     Document Type: Conference Paper
Times cited : (1)

References (16)
  • 2
    • 0027652468 scopus 로고
    • Substructure discovery using minimum description length and background knowledge
    • D. J. Cook and L. B. Holder, ‘Substructure discovery using minimum description length and background knowledge’, Journal of Artificial Intelligence Research, 1, 231–255, (1994).
    • (1994) Journal of Artificial Intelligence Research , vol.1 , pp. 231-255
    • Cook, D.J.1    Holder, L.B.2
  • 4
    • 34547984408 scopus 로고    scopus 로고
    • Frequent sub-structure-based approaches for classifying chemical compounds
    • M. Deshpande, M. Kuramochi, and G. Karypis, ‘Frequent sub-structure-based approaches for classifying chemical compounds’, icdm, 00, 35, (2003).
    • (2003) Icdm , pp. 35
    • Deshpande, M.1    Kuramochi, M.2    Karypis, G.3
  • 11
    • 10044293900 scopus 로고
    • Développement d’outils algorithmiques pour l’intelligence artificielle
    • Thèse de l’Université des Sciences et Techniques du Langue-doc, Montpellier
    • J.-C. Régin. Développement d’outils algorithmiques pour l’intelligence artificielle. Application à la chimie organique. Thèse de l’Université des Sciences et Techniques du Langue-doc, Montpellier, 1995.
    • (1995) Application À La Chimie Organique
    • Régin, J.-C.1
  • 12
    • 84955665023 scopus 로고
    • Machine learning of strategic knowledge in organic synthesis from reaction databases
    • F. Bernardi and J.L. Rivail,. Woodbury, NY AIP Press
    • J.C. Regin, O. Gascuel, and C. Laurenco, ‘Machine learning of strategic knowledge in organic synthesis from reaction databases’, in Proceedings of E.C.C.C-1, Computational Chemistry, eds., F. Bernardi and J.L. Rivail, pp. 618–623, Woodbury, NY, (1995). AIP Press.
    • (1995) Proceedings of E.C.C.C-1, Computational Chemistry , pp. 618-623
    • Regin, J.C.1    Gascuel, O.2    Laurenco, C.3
  • 13
    • 0242297804 scopus 로고    scopus 로고
    • Knowledge discovery on chemical reactivity from experimental reaction information
    • Gunter Grieser, Yuzuru Tanaka, and Aki-hiro Yamamoto, 2843 of Lecture Notes in Computer Science,. Springer
    • H. Satoh and T. Nakata, ‘Knowledge discovery on chemical reactivity from experimental reaction information’, in Discovery Science, eds., Gunter Grieser, Yuzuru Tanaka, and Aki-hiro Yamamoto, volume 2843 of Lecture Notes in Computer Science, pp. 470–477. Springer, (2003).
    • (2003) Discovery Science , pp. 470-477
    • Satoh, H.1    Nakata, T.2
  • 14
    • 77958569131 scopus 로고    scopus 로고
    • SDM, eds., J. Ghosh, D. Lambert, D. B. Skillicorn, and J. Srivastava. SIAM
    • R. M. H. Ting and J. Bailey, ‘Mining minimal contrast subgraph patterns’, in SDM, eds., J. Ghosh, D. Lambert, D. B. Skillicorn, and J. Srivastava. SIAM, (2006).
    • (2006) Mining Minimal Contrast Subgraph Patterns
    • Ting, R.M.H.1    Bailey, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.