메뉴 건너뛰기




Volumn 57, Issue 1-2 SPEC. ISS., 2004, Pages 61-81

Multi-relational learning, text mining, and semi-supervised learning for functional genomics

Author keywords

Co training; Information extraction; Propositionalization

Indexed keywords

DATA MINING; GENES; INFORMATION ANALYSIS; LEARNING ALGORITHMS; LOGIC PROGRAMMING; PROBLEM SOLVING; PROTEINS; SIGNAL PROCESSING; TEXT PROCESSING;

EID: 3242775432     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:MACH.0000035472.73496.0c     Document Type: Article
Times cited : (61)

References (39)
  • 1
    • 0036522638 scopus 로고    scopus 로고
    • The frame-based module of the suiseki information extraction system
    • Blaschke, C., & Valencia, A. (2002). The frame-based module of the suiseki information extraction system. IEEE Transactions on Intelligent Systems, 17, 14-20.
    • (2002) IEEE Transactions on Intelligent Systems , vol.17 , pp. 14-20
    • Blaschke, C.1    Valencia, A.2
  • 3
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • Bradley, A. (1997). The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30, 1145-1159.
    • (1997) Pattern Recognition , vol.30 , pp. 1145-1159
    • Bradley, A.1
  • 7
    • 1942483344 scopus 로고
    • On the asymptotic improvement in the outcome of supervised learning provided by additional nonsupervised learning
    • Cooper, D., & Friedman, J. (1970). On the asymptotic improvement in the outcome of supervised learning provided by additional nonsupervised learning. IEEE Transactions on Computers, C-19, 1055-1063.
    • (1970) IEEE Transactions on Computers , vol.C-19 , pp. 1055-1063
    • Cooper, D.1    Friedman, J.2
  • 9
    • 3242781571 scopus 로고    scopus 로고
    • The genomics of a signalling pathway: A KDD Cup challenge task
    • Craven, M. (2002). The genomics of a signalling pathway: A KDD Cup challenge task. SIGKDD Explorations, 4:2, 97-98.
    • (2002) SIGKDD Explorations , vol.4 , Issue.2 , pp. 97-98
    • Craven, M.1
  • 12
    • 3242805840 scopus 로고    scopus 로고
    • Feature engineering for a gene regulation prediction task
    • Forman, G. (2002). Feature engineering for a gene regulation prediction task. SIGKDD Explorations, 4:2, 106-107.
    • (2002) SIGKDD Explorations , vol.4 , Issue.2 , pp. 106-107
    • Forman, G.1
  • 16
    • 3943106585 scopus 로고    scopus 로고
    • Accomplishments and challenges in literature data mining for biology
    • Hirschmann, L., Park, J., Tsujii, J., Wong, L., & Wu, C. (2002). Accomplishments and challenges in literature data mining for biology. Bioinformatics, 18, 1553-1561.
    • (2002) Bioinformatics , vol.18 , pp. 1553-1561
    • Hirschmann, L.1    Park, J.2    Tsujii, J.3    Wong, L.4    Wu, C.5
  • 19
    • 3242750450 scopus 로고    scopus 로고
    • Email classification with co-training
    • University of Ottawa
    • Kiritchenko, S., & Matwin, S. (2002). Email classification with co-training. Technical Report, University of Ottawa.
    • (2002) Technical Report
    • Kiritchenko, S.1    Matwin, S.2
  • 22
    • 3242789262 scopus 로고    scopus 로고
    • One class SVM for yeast regulation prediction
    • Kowalczyk, A., & Raskutti, B. (2002). One class SVM for yeast regulation prediction. SIGKDD Explorations, 4:2, 99-100.
    • (2002) SIGKDD Explorations , vol.4 , Issue.2 , pp. 99-100
    • Kowalczyk, A.1    Raskutti, B.2
  • 23
    • 1942515438 scopus 로고    scopus 로고
    • Propositionalization approaches to relational data mining
    • N. Lavrač and S. Džeroski (eds.). Springer
    • Kramer, S., Lavrač, N., & Flach, P. A. (2001). Propositionalization approaches to relational data mining. In N. Lavrač and S. Džeroski (eds.), Relational data mining. Springer.
    • (2001) Relational Data Mining
    • Kramer, S.1    Lavrač, N.2    Flach, P.A.3
  • 24
    • 49049091857 scopus 로고    scopus 로고
    • Combining data and text mining techniques for yeast gene regulation prediction: A case study
    • Krogel, M.-A. Landwehr, M., Denecke, M., & Scheffer, T. (2003a). Combining data and text mining techniques for yeast gene regulation prediction: A case study. SIGKDD Explorations, 4:2, 104-105.
    • (2003) SIGKDD Explorations , vol.4 , Issue.2 , pp. 104-105
    • Krogel, M.-A.1    Landwehr, M.2    Denecke, M.3    Scheffer, T.4
  • 35
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • Porter, M. F. (1980). An algorithm for suffix stripping. Program, 14, 130-137.
    • (1980) Program , vol.14 , pp. 130-137
    • Porter, M.F.1
  • 38
    • 2942590700 scopus 로고    scopus 로고
    • Predicting the effects of gene deletion
    • Vogel, D., & Axelrod, R. (2002). Predicting the effects of gene deletion. SIGKDD Explorations (pp. 101-103).
    • (2002) SIGKDD Explorations , pp. 101-103
    • Vogel, D.1    Axelrod, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.