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Volumn , Issue , 2007, Pages 418-423

Attribute selection in software engineering datasets for detecting fault modules

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE SELECTION AND EVALUATION; DATA MINING; DATABASE SYSTEMS; DECISION MAKING; DECISION SUPPORT SYSTEMS; ENGINEERING; INFORMATION MANAGEMENT; PROBLEM SOLVING; PROJECT MANAGEMENT; SEARCH ENGINES; SOFTWARE ENGINEERING; TECHNOLOGY;

EID: 48049112128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EUROMICRO.2007.20     Document Type: Conference Paper
Times cited : (40)

References (16)
  • 1
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • D. Aha, D. Kibler, and M. Albert. Instance-based learning algorithms. Machine Learning, 6:37-66, 1991.
    • (1991) Machine Learning , vol.6 , pp. 37-66
    • Aha, D.1    Kibler, D.2    Albert, M.3
  • 2
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • A. Blum and P. Langley. Selection of relevant features and examples in machine learning. Artificial Intelligence, 97(1-2):245-271, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 3
    • 28244470710 scopus 로고    scopus 로고
    • Finding the right data for software cost modeling
    • Z. Chen, T. Menzies, D. Port, and B. Boehm. Finding the right data for software cost modeling. IEEE Software, 22:38-46, 2005.
    • (2005) IEEE Software , vol.22 , pp. 38-46
    • Chen, Z.1    Menzies, T.2    Port, D.3    Boehm, B.4
  • 6
    • 0004060921 scopus 로고    scopus 로고
    • PhD thesis, University of Waikato, Department of Computer Science, Hamilton, New Zealand
    • M.Hall. Correlation-based Feature Selection for Machine Learning. PhD thesis, University of Waikato, Department of Computer Science, Hamilton, New Zealand, 1999.
    • (1999) Correlation-based Feature Selection for Machine Learning
    • Hall, M.1
  • 7
    • 3042671822 scopus 로고
    • Elements of software science
    • Elsevier Computer Science Library, Elsevier, New York, Oxford
    • M. H. Halstead. Elements of software science. Elsevier Computer Science Library. Operating And Programming Systems Series; 2. Elsevier, New York ; Oxford, 1977.
    • (1977) Operating And Programming Systems Series , vol.2
    • Halstead, M.H.1
  • 8
    • 48049091268 scopus 로고    scopus 로고
    • C. Kirsopp and M. Shepperd. Case and feature subset selection in case-based software project effort prediction
    • C. Kirsopp and M. Shepperd. Case and feature subset selection in case-based software project effort prediction.
  • 9
    • 33747419508 scopus 로고
    • Automatic parameter selection by minimizing estimated error
    • San Francisco
    • R. Kohavi and G. John. Automatic parameter selection by minimizing estimated error. In 12th Int. Conf. on Machine Learning, pages 304-312, San Francisco, 1995.
    • (1995) 12th Int. Conf. on Machine Learning , pp. 304-312
    • Kohavi, R.1    John, G.2
  • 10
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R. Kohavi and G. John. Wrappers for feature subset selection. Artificial Intelligence, 1-2:273-324, 1997.
    • (1997) Artificial Intelligence , vol.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 12
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • H. Liu and L. Yu. Toward integrating feature selection algorithms for classification and clustering. IEEE Trans. on Knowledge and Data Eng., 17(3): 1-12, 2005.
    • (2005) IEEE Trans. on Knowledge and Data Eng , vol.17 , Issue.3 , pp. 1-12
    • Liu, H.1    Yu, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.