메뉴 건너뛰기




Volumn , Issue , 2007, Pages 244-267

A hierarchical online classifier for patent categorization

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84862274339     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-373-9.ch012     Document Type: Chapter
Times cited : (20)

References (41)
  • 1
    • 85152618419 scopus 로고
    • Empirical support for Winnow and weighted-majority based algorithms: Results on a calendar scheduling domain
    • San Francisco: Morgan Kaufmann
    • th International Conference on Machine Learning (pp. 64-72). San Francisco: Morgan Kaufmann.
    • (1995) th International Conference On Machine Learning , pp. 64-72
    • Blum, A.1
  • 4
    • 0000776545 scopus 로고    scopus 로고
    • Scalable feature selection, classification and signature generation for organizing large text databases into hierarchicaltopic taxonomies
    • Chakrabarti, S., Dom, B., Agrawal, R., & Raghavan P. (1998). Scalable feature selection, classification and signature generation for organizing large text databases into hierarchicaltopic taxonomies. Very Large Date Bases Journal, 7(3), 163-178.
    • (1998) Very Large Date Bases Journal , vol.7 , Issue.3 , pp. 163-178
    • Chakrabarti, S.1    Dom, B.2    Agrawal, R.3    Raghavan, P.4
  • 6
    • 0001345686 scopus 로고    scopus 로고
    • Context sensitive learning methods for text categorization
    • Cohen, W.W., & Singer, Y. (1999). Context sensitive learning methods for text categorization. ACM Transactions on Information Systems,17(2), 141-173.
    • (1999) ACM Transactions On Information Systems , vol.17 , Issue.2 , pp. 141-173
    • Cohen, W.W.1    Singer, Y.2
  • 10
    • 11144323868 scopus 로고    scopus 로고
    • Automated categorization in the international patent classification
    • Fall, C.J., Törcsvári, A., Benzineb, K., & Karetka, G. (2003). Automated categorization in the international patent classification. ACM SIGIR Forum Archive, 37(1), 10-25.
    • (2003) ACM SIGIR Forum Archive , vol.37 , Issue.1 , pp. 10-25
    • Fall, C.J.1    Törcsvári, A.2    Benzineb, K.3    Karetka, G.4
  • 16
    • 84900269148 scopus 로고    scopus 로고
    • Benefits of deep NLP-based lemmatization for information retrieval
    • Alicante, Spain
    • Halácsy, P. (2005). Benefits of deep NLP-based lemmatization for information retrieval. In Working Notes for the CLEF 2006 Workshop, Alicante, Spain.
    • (2005) Working Notes For the CLEF 2006 Workshop
    • Halácsy, P.1
  • 18
    • 18744372843 scopus 로고    scopus 로고
    • What shall we evaluate? Preliminary discussion for the NTCIR Patent IR Challenge based on the brainstorming with the specialized intermediaries in patent searching and patent attorneys
    • Athens, Greece, New York: ACM Press
    • Kando, N. (2000). What shall we evaluate? Preliminary discussion for the NTCIR Patent IR Challenge based on the brainstorming with the specialized intermediaries in patent searching and patent attorneys. In ACM-SIGIR Workshop on Patent Retrieval, Athens, Greece (pp. 37-42). New York: ACM Press.
    • (2000) ACM-SIGIR Workshop On Patent Retrieval , pp. 37-42
    • Kando, N.1
  • 22
    • 0036340740 scopus 로고    scopus 로고
    • Automatic categorization applications at the European Patent Office
    • Krier, M., & Zaccà, F. (2002). Automatic categorization applications at the European Patent Office. World Patent Information, 24, 187-196.
    • (2002) World Patent Information , vol.24 , pp. 187-196
    • Krier, M.1    Zaccà, F.2
  • 24
    • 0033279503 scopus 로고    scopus 로고
    • A patent search and classification system
    • Berkeley, California, New York: ACM Press
    • th ACM Conference on Digital Libraries, Berkeley, California (pp. 179-187). New York: ACM Press.
    • (1999) th ACM Conference On Digital Libraries , pp. 179-187
    • Larkey, L.S.1
  • 27
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes around: A new linear-threshold algorithm
    • Littlestone, N. (1988). Learning quickly when irrelevant attributes around: A new linear-threshold algorithm. Machine Learning, 2, 285-318.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 28
    • 85050937116 scopus 로고
    • Comparing sereval linearthreshold learning algorithm on tasks involving superfluous attributes
    • San Francisco, Morgan Kaufmann
    • th International Conference on Machine Learning, San Francisco (pp. 353-361). Morgan Kaufmann.
    • (1995) th International Conference On Machine Learning , pp. 353-361
    • Littlestone, N.1
  • 32
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in brain
    • (Reprinted in Neurocomputing. MIT Press, 1988)
    • Rosenblatt, F. (1958). The perceptron: A probabilistic model for information storage and organization in brain. Psychological Review, 65, 386-407. (Reprinted in Neurocomputing. MIT Press, 1988).
    • (1958) Psychological Review , vol.65 , pp. 386-407
    • Rosenblatt, F.1
  • 34
    • 0242659655 scopus 로고    scopus 로고
    • Hierarchicaltext categorization using neural networks
    • Ruiz, M.E., & Srinivasan, P. (2002). Hierarchicaltext categorization using neural networks. Information Retrieval, 5(1), 87-118.
    • (2002) Information Retrieval , vol.5 , Issue.1 , pp. 87-118
    • Ruiz, M.E.1    Srinivasan, P.2
  • 37
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F. (2002). Machine learning in automated text categorization. ACM Computing Surveys, 34(1), 1-47.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 39
    • 1642413309 scopus 로고    scopus 로고
    • Hierarchicaltext categorization using fuzzy relational thesaurus
    • Tikk, D., Yang, J.D., & Bang, S.L. (2003). Hierarchicaltext categorization using fuzzy relational thesaurus. Kybernetika, 39(5), 583-600.
    • (2003) Kybernetika , vol.39 , Issue.5 , pp. 583-600
    • Tikk, D.1    Yang, J.D.2    Bang, S.L.3
  • 40
    • 33746098890 scopus 로고    scopus 로고
    • Development of a patent document classification and search platform using a back-propagation network
    • Trappey, A.J.C., Hsu, F.-C., Trappey, C.V., & Lin C.-I., (2006). Development of a patent document classification and search platform using a back-propagation network. Expert Systems with Applications, 31(4), 755-765.
    • (2006) Expert Systems With Applications , vol.31 , Issue.4 , pp. 755-765
    • Trappey, A.J.C.1    Hsu, F.-C.2    Trappey, C.V.3    Lin, C.-I.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.