메뉴 건너뛰기




Volumn 9, Issue SUPPL. 3, 2008, Pages

Exploiting and integrating rich features for biological literature classification

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL LITERATURES; BIOLOGICAL STRUCTURES; CLASSIFICATION PERFORMANCE; DOMAIN INDEPENDENTS; LARGE-SCALE DATUM; LITERATURE CLASSIFICATIONS; SEMANTIC TEMPLATES; TEXT CLASSIFICATION;

EID: 44649148478     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S3-S4     Document Type: Conference Paper
Times cited : (23)

References (21)
  • 1
    • 84886760343 scopus 로고    scopus 로고
    • An Extensive Empirical Study of Feature Selection Metrics for Text Classification, in the Journal of Machine Learning Research
    • Forman G An Extensive Empirical Study of Feature Selection Metrics for Text Classification, in the Journal of Machine Learning Research Special Issue on Variable and Feature Selection 2002.
    • (2002) Special Issue on Variable and Feature Selection
    • Forman, G.1
  • 2
    • 35748932917 scopus 로고    scopus 로고
    • A Review of feature selection techniques in bioinformatics
    • Oxford University Press 17720704
    • Saeys Y Inza I Larranaga P A Review of feature selection techniques in bioinformatics Bioinformatics Oxford University Press 2007, 23(19):2507-2517. 17720704
    • (2007) Bioinformatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larranaga, P.3
  • 3
    • 0742324214 scopus 로고    scopus 로고
    • Rule-based extraction of experimental evidence in the biomedical domain: The KDD Cup 2002 (task 1)
    • Regev Y Finkelstein-Landau M Feldman R Rule-based extraction of experimental evidence in the biomedical domain: The KDD Cup 2002 (task 1) ACM SIGKDD Explorations Newsletter 4(2):90-92.
    • ACM SIGKDD Explorations Newsletter , vol.4 , Issue.2 , pp. 90-92
    • Regev, Y.1    Finkelstein-Landau, M.2    Feldman, R.3
  • 4
    • 2442443800 scopus 로고    scopus 로고
    • A machine learning approach for the curation of biomedical literature-KDD Cup 2002 (task 1)
    • Shi M Edwin DS Menon R et al.: A machine learning approach for the curation of biomedical literature-KDD Cup 2002 (task 1) ACM SIGKDD Explorations Newsletter 4(2):93-94.
    • ACM SIGKDD Explorations Newsletter , vol.4 , Issue.2 , pp. 93-94
    • Shi, M.1    Edwin, D.S.2    Menon, R.3
  • 5
    • 0742306588 scopus 로고    scopus 로고
    • Automatic scientific text classification using local patterns: KDD Cup 2002 (task 1)
    • Ghanem MM Guo Y Lodhi H Zhang Y Automatic scientific text classification using local patterns: KDD Cup 2002 (task 1) ACM SIGKDD Explorations Newsletter 4(2):95-96.
    • ACM SIGKDD Explorations Newsletter , vol.4 , Issue.2 , pp. 95-96
    • Ghanem, M.M.1    Guo, Y.2    Lodhi, H.3    Zhang, Y.4
  • 6
    • 33748635165 scopus 로고    scopus 로고
    • Substring selection for biomedical document classification
    • 16837530
    • Han B Obradovic Z Hu ZZ Cathy WH Vucetic S Substring selection for biomedical document classification Bioinformatics 2006, 22(17):2136-2142. 16837530
    • (2006) Bioinformatics , vol.22 , Issue.17 , pp. 2136-2142
    • Han, B.1    Obradovic, Z.2    Hu, Z.Z.3    Cathy, W.H.4    Vucetic, S.5
  • 7
    • 0034575784 scopus 로고    scopus 로고
    • Boosting Naive Bayesian Learning on a Large Subset of MEDLINE
    • Los Angeles, CA
    • Wilbur JW Boosting Naive Bayesian Learning on a Large Subset of MEDLINE Proceedings of AMIA Symposium Los Angeles, CA 918-922.
    • Proceedings of AMIA Symposium , pp. 918-922
    • Wilbur, J.W.1
  • 8
    • 4944257920 scopus 로고    scopus 로고
    • Combing NLP and probabilistic categorization for document and term selection for Swiss-Prot medical annotation
    • Dobrokhotov PB et al.: Combing NLP and probabilistic categorization for document and term selection for Swiss-Prot medical annotation Bioinformatics 2003, 19:91-94.
    • (2003) Bioinformatics , vol.19 , pp. 91-94
    • Dobrokhotov, P.B.1
  • 9
    • 46949103164 scopus 로고    scopus 로고
    • Automatically Expanded Dictionaries with Exclusion Rules and Support Vector Machine Text Classifiers: Approaches to the BioCreAtIve 2 GN and PPI_IAS Tasks
    • Madrid. Spanish National Cancer Research Centre Krallinger M
    • Cohehn AM Automatically Expanded Dictionaries with Exclusion Rules and Support Vector Machine Text Classifiers: Approaches to the BioCreAtIve 2 GN and PPI_IAS Tasks Proceedings of the BioCreative Workshop: 22-25 April 2007. Madrid. Spanish National Cancer Research Centre Krallinger M 2007:169-174.
    • (2007) Proceedings of the BioCreative Workshop: 22-25 April 2007 , pp. 169-174
    • Cohehn, A.M.1
  • 10
    • 84874649368 scopus 로고    scopus 로고
    • BioCreAtIvE [http://biocreative.sourceforge.net/]
    • BioCreAtIvE
  • 12
    • 33749549919 scopus 로고    scopus 로고
    • Extracting Key-Substring-Group Features for Text Classification
    • Philadelphia, Pennsylvania, USA August 20-23
    • Zhang D Lee WS Extracting Key-Substring-Group Features for Text Classification the proceeding of KDD'06 Philadelphia, Pennsylvania, USA 2006:474-483. August 20-23
    • (2006) The Proceeding of KDD'06 , pp. 474-483
    • Zhang, D.1    Lee, W.S.2
  • 13
    • 0003726594 scopus 로고    scopus 로고
    • School of Computer Science, Jan O.Pedrsen Verity, Inc. Sunnyvale, CA USA Carnegie Mellon University Pittsburgh, PA, USA
    • Yang Y A Comparative Study on Feature Selection in Text Categorization School of Computer Science, Jan O.Pedrsen Verity, Inc. Sunnyvale, CA USA Carnegie Mellon University Pittsburgh, PA, USA.
    • A Comparative Study on Feature Selection in Text Categorization
    • Yang, Y.1
  • 15
    • 84886765823 scopus 로고    scopus 로고
    • ABNER v1.5 homepage [http://pages.cs.wisc.edu/~bsettles/abner/ #performance]
    • ABNER V1.5 Homepage
  • 20
    • 85024373635 scopus 로고    scopus 로고
    • A re-examination of text categorization methods
    • Berkley, CA USA
    • Yang Y Liu X A re-examination of text categorization methods Proceedings of SIGIR'99 August Berkley, CA USA:42-49.
    • Proceedings of SIGIR'99 August , pp. 42-49
    • Yang, Y.1    Liu, X.2
  • 21
    • 84886755813 scopus 로고    scopus 로고
    • ONBIRES Homepage [http://spies.cs.tsinghua.edu.cn:8080]
    • ONBIRES Homepage


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.