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Volumn 5, Issue , 2007, Pages 2841-2846

Fast C4.5

Author keywords

Bit parallel technique; C4.5; Classification; Fast; Indirect bucket sort

Indexed keywords

DATA STRUCTURES; DECISION TREES; LEARNING SYSTEMS; SCALABILITY;

EID: 38049019831     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2007.4370632     Document Type: Conference Paper
Times cited : (19)

References (13)
  • 1
    • 0034274591 scopus 로고    scopus 로고
    • A comparison of prediction accuracy, complexity and training time of thirty-three old and new classification algorithms
    • Lim, T.S., Loh, W.Y. and Shih Y.S., "A comparison of prediction accuracy, complexity and training time of thirty-three old and new classification algorithms.", Machine Learning, Vol 40, No. 3, pp. 203-228, 2000.
    • (2000) Machine Learning , vol.40 , Issue.3 , pp. 203-228
    • Lim, T.S.1    Loh, W.Y.2    Shih, Y.S.3
  • 2
    • 38049020504 scopus 로고    scopus 로고
    • Quinlan, J., C4.5 Programs For Machine Learning. Morgan Kaufmann Publishers, San Mateo California, 1993.
    • Quinlan, J., C4.5 Programs For Machine Learning. Morgan Kaufmann Publishers, San Mateo California, 1993.
  • 8
    • 0029678894 scopus 로고    scopus 로고
    • Improved use of continuous attributes in C4.5
    • Quinlan, J., "Improved use of continuous attributes in C4.5", Journal of Artificial Intelligence, Vol 4, pp. 77-90, 1996.
    • (1996) Journal of Artificial Intelligence , vol.4 , pp. 77-90
    • Quinlan, J.1
  • 10
    • 38049052260 scopus 로고    scopus 로고
    • Witten, I., Frank, E., Data mining: Praticai machine learning tools and techiniques with java implemen-tations. Morgan and Kaufmann, 2000.
    • Witten, I., Frank, E., Data mining: Praticai machine learning tools and techiniques with java implemen-tations. Morgan and Kaufmann, 2000.
  • 13
    • 38049082093 scopus 로고    scopus 로고
    • Group, Q. , Quest synthetic data generation code, http://www.almaden.ibm. eom/software/projects/iis/hdb/Projects/data_mining/datasets/syndata. html#classSynData, 1999.
    • Group, Q. , Quest synthetic data generation code, http://www.almaden.ibm. eom/software/projects/iis/hdb/Projects/data_mining/datasets/syndata. html#classSynData, 1999.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.