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Volumn 1, Issue , 2008, Pages 374-379

A novel approach for integrating feature and instance selection

Author keywords

Feature selection; Instance selection; Machine learning; Simulated annealing

Indexed keywords

ANNEALING; CONTROL THEORY; CYBERNETICS; EDUCATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; ROBOT LEARNING;

EID: 57849085710     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4620434     Document Type: Conference Paper
Times cited : (19)

References (22)
  • 2
    • 33847634427 scopus 로고    scopus 로고
    • A genetic algorithm feature selection approach to robust classification between "positive" and "negative" emotional states in speakers. Signals, Systems and Computers, 2005
    • Beritelli, F., Casale, S., Russo, A., & Serrano, S. (2005). A genetic algorithm feature selection approach to robust classification between "positive" and "negative" emotional states in speakers. Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on, 550-553.
    • (2005) Conference Record of the Thirty-Ninth Asilomar Conference on , pp. 550-553
    • Beritelli, F.1    Casale, S.2    Russo, A.3    Serrano, S.4
  • 3
    • 0031334221 scopus 로고    scopus 로고
    • Selection of Relevant features and examples in machine learning
    • Blum, A., & Langley, P. (1997). Selection of Relevant features and examples in machine learning. Artificial Intelligence, 97, 245-271.
    • (1997) Artificial Intelligence , vol.97 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 4
    • 0347763609 scopus 로고    scopus 로고
    • Using evolutionary algorithms as instance selection for data reduction in kdd: An experimental study. Evolutionary Computation
    • Cano, J., Herrera, F., & Lozano, M. (2003). Using evolutionary algorithms as instance selection for data reduction in kdd: an experimental study. Evolutionary Computation, IEEE Transactions on, 7, 561-575.
    • (2003) IEEE Transactions on , vol.7 , pp. 561-575
    • Cano, J.1    Herrera, F.2    Lozano, M.3
  • 5
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification. Intelligent Data Analysis
    • Dash, M., & Liu, H. (1997). Feature selection for classification. Intelligent Data Analysis - An International Journal, 1, 131-156.
    • (1997) An International Journal , vol.1 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 6
    • 0002283033 scopus 로고    scopus 로고
    • From data mining to knowledge discovery in databases
    • Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery in databases. Ai Magazine, 17, 37-54.
    • (1996) Ai Magazine , vol.17 , pp. 37-54
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 9
    • 0015346497 scopus 로고
    • The reduced nearest neighbor rule (corresp.)
    • Gates, G. (1972). The reduced nearest neighbor rule (corresp.). Information Theory, IEEE Transactions on, 18, 431-433.
    • (1972) Information Theory, IEEE Transactions on , vol.18 , pp. 431-433
    • Gates, G.1
  • 11
    • 9444236865 scopus 로고    scopus 로고
    • Jankowski, N., & Grochowski, M. (2004). Comparison of instances selection algorithms in. algorithms survey. ICAISC, pp. 598-603.
    • Jankowski, N., & Grochowski, M. (2004). Comparison of instances selection algorithms in. algorithms survey. ICAISC, pp. 598-603.
  • 13
    • 26444479778 scopus 로고    scopus 로고
    • Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, Number 4598, 13 May 1983, 220, 4598, 671-680.
    • Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, Number 4598, 13 May 1983, 220, 4598, 671-680.
  • 14
    • 0141688336 scopus 로고    scopus 로고
    • On issues of instance selection
    • Liu, H., & Motoda, H. (2002). On issues of instance selection. Data Min. Knowl. Discov., 6, 115-130.
    • (2002) Data Min. Knowl. Discov , vol.6 , pp. 115-130
    • Liu, H.1    Motoda, H.2
  • 18
    • 84866024386 scopus 로고    scopus 로고
    • Doctoral dissertation, University of Ottawa, School of Information Technology and Engineering SITE, Ottawa, ON
    • Souza, J. (2004). Feature selection with a general hybrid algorithm. Doctoral dissertation, University of Ottawa, School of Information Technology and Engineering (SITE), Ottawa, ON.
    • (2004) Feature selection with a general hybrid algorithm
    • Souza, J.1
  • 20
    • 10044247069 scopus 로고    scopus 로고
    • Feature selection using tabu search for improving the classification rate prostate needle biopsies
    • 2
    • Tahir, M., Bouridane, A., Kurugollu, F., & Amira, A. (2004). Feature selection using tabu search for improving the classification rate prostate needle biopsies. Pattern recognition, 335-338 Vol. 2.
    • (2004) Pattern recognition , pp. 335-338
    • Tahir, M.1    Bouridane, A.2    Kurugollu, F.3    Amira, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.