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Volumn 5139 LNAI, Issue , 2008, Pages 73-86

FARS: A multi-relational feature and relation selection approach for efficient classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA HANDLING; FEATURE EXTRACTION; MACHINE LEARNING; SEMANTICS;

EID: 68849113746     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88192-6_9     Document Type: Conference Paper
Times cited : (5)

References (21)
  • 2
    • 0027002164 scopus 로고
    • The Feature Selection Problem: Traditional Methods and A New Algorithm
    • AAAI Press/The MIT Press, Menlo Park
    • Kira, K., Rendell, L.: The Feature Selection Problem: Traditional Methods and A New Algorithm. In: Proceedings of the Tenth National Conference on Artificial Intelligence, pp. 129-134. AAAI Press/The MIT Press, Menlo Park (1992)
    • (1992) Proceedings of the Tenth National Conference on Artificial Intelligence , pp. 129-134
    • Kira, K.1    Rendell, L.2
  • 3
    • 33845629152 scopus 로고
    • Using Decision Trees to Improve Case-based Learning
    • Morgan Kaufmann Publishers, Inc, San Francisco
    • Cardie, C.: Using Decision Trees to Improve Case-based Learning. In: Proceedings of the Tenth International Conference on Machine Learning, pp. 25-32. Morgan Kaufmann Publishers, Inc., San Francisco (1993)
    • (1993) Proceedings of the Tenth International Conference on Machine Learning , pp. 25-32
    • Cardie, C.1
  • 5
    • 84992726552 scopus 로고
    • Estimating attributes: Analysis and Extension of RELIEF
    • Catania, Italy, pp, Springer, Berlin
    • Kononenko, I.: Estimating attributes: Analysis and Extension of RELIEF. In: Proceedings of the European Conference on Machine Learning, Catania, Italy, pp. 171-182. Springer, Berlin (1994)
    • (1994) Proceedings of the European Conference on Machine Learning , pp. 171-182
    • Kononenko, I.1
  • 10
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for Feature Subset Selection
    • Kohavi, R., John, G.: Wrappers for Feature Subset Selection. Artificial Intelligence, 273-324 (1997)
    • (1997) Artificial Intelligence , vol.273-324
    • Kohavi, R.1    John, G.2
  • 11
    • 0031334221 scopus 로고    scopus 로고
    • Selection of Relevant Features and Examples in Machine Learning
    • Blum, A., Langley, P.: Selection of Relevant Features and Examples in Machine Learning. Artificial Intelligence, 245-271 (1997)
    • (1997) Artificial Intelligence , vol.245-271
    • Blum, A.1    Langley, P.2
  • 14
    • 68849121675 scopus 로고    scopus 로고
    • Boz, O.: Feature Subsets Selection by Using Sorted Feature Relevance. In: Proc. Intl. Conf. on Machine Learning and Applications (June 2002)
    • Boz, O.: Feature Subsets Selection by Using Sorted Feature Relevance. In: Proc. Intl. Conf. on Machine Learning and Applications (June 2002)
  • 16
    • 1942451938 scopus 로고    scopus 로고
    • Feature Selection for High-Dimensional Data: A Fast Correlation Based Filter Solution
    • Yu, L., Liu, H.: Feature Selection for High-Dimensional Data: A Fast Correlation Based Filter Solution. In: 12th Int. Conf. on Machine Learning (ICML) (2003)
    • (2003) 12th Int. Conf. on Machine Learning (ICML)
    • Yu, L.1    Liu, H.2
  • 17
    • 68849108845 scopus 로고    scopus 로고
    • Quinlan, J.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
    • Quinlan, J.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
  • 20
    • 84957882560 scopus 로고    scopus 로고
    • An Efficient Multi-relational Naïve Bayesian Classifier Based on Semantic Relationship Graph
    • Liu, H., Yin, X., Han, J.: An Efficient Multi-relational Naïve Bayesian Classifier Based on Semantic Relationship Graph. In: Proc. ACM-SIGKDD MRDM Workshop (2005)
    • (2005) Proc. ACM-SIGKDD MRDM Workshop
    • Liu, H.1    Yin, X.2    Han, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.