메뉴 건너뛰기




Volumn 179, Issue 7, 2009, Pages 967-979

Building a cost-constrained decision tree with multiple condition attributes

Author keywords

Classification; Cost sensitive learning; Data mining; Decision analysis; Decision tree

Indexed keywords

COSTS; DATA MINING; DECISION MAKING; DECISION THEORY; DECISION TREES; INFORMATION MANAGEMENT; MATHEMATICAL MODELS; TREES (MATHEMATICS);

EID: 58349085107     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2008.11.032     Document Type: Article
Times cited : (16)

References (19)
  • 1
    • 4243149406 scopus 로고    scopus 로고
    • Building multi-way decision trees with numerical attributes
    • Berzal F., Cubero J.C., Marin N., and Sanchez D. Building multi-way decision trees with numerical attributes. Information Sciences 165 (2004) 73-90
    • (2004) Information Sciences , vol.165 , pp. 73-90
    • Berzal, F.1    Cubero, J.C.2    Marin, N.3    Sanchez, D.4
  • 3
    • 58349111312 scopus 로고    scopus 로고
    • P. Domingos, MetaCost: a general method for making classifiers cost-sensitive, in: Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining, San Diego, CA, ACM Press, 1999, pp. 155-164.
    • P. Domingos, MetaCost: a general method for making classifiers cost-sensitive, in: Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining, San Diego, CA, ACM Press, 1999, pp. 155-164.
  • 4
    • 84867577175 scopus 로고    scopus 로고
    • C. Elkan, The Foundations of Cost-Sensitive Learning, in: Proceeding of the Seventeenth International Joint Conference on Artificial Intelligence, 2001, pp. 973-978.
    • C. Elkan, The Foundations of Cost-Sensitive Learning, in: Proceeding of the Seventeenth International Joint Conference on Artificial Intelligence, 2001, pp. 973-978.
  • 6
    • 58349088091 scopus 로고    scopus 로고
    • M.T. Kai, Inducing cost-sensitive trees via instance weighting, in: Principles of Data Mining and Knowledge Discovery, Second European Symposium, Springer-Verlag, 1998, pp. 23-26.
    • M.T. Kai, Inducing cost-sensitive trees via instance weighting, in: Principles of Data Mining and Knowledge Discovery, Second European Symposium, Springer-Verlag, 1998, pp. 23-26.
  • 9
    • 14344258878 scopus 로고    scopus 로고
    • C.X. Ling, Q. Yang, J. Wang, S. Zhang, Decision trees with minimal costs, in: Proceedings of the 21st International Conference on Machine Learning, 2004.
    • C.X. Ling, Q. Yang, J. Wang, S. Zhang, Decision trees with minimal costs, in: Proceedings of the 21st International Conference on Machine Learning, 2004.
  • 10
    • 0031312210 scopus 로고    scopus 로고
    • Split selection methods for classification trees
    • Loh W.Y., and Shih Y.S. Split selection methods for classification trees. Statistica Sinica 7 4 (1997) 815-840
    • (1997) Statistica Sinica , vol.7 , Issue.4 , pp. 815-840
    • Loh, W.Y.1    Shih, Y.S.2
  • 11
    • 58349108090 scopus 로고    scopus 로고
    • S.W. Norton, Generating better decision trees, in: Proceedings International Joint Conference Artificial Intelligence, MI, Morgan Kaufmann, San Mateo, CA, 1989, pp. 800-805.
    • S.W. Norton, Generating better decision trees, in: Proceedings International Joint Conference Artificial Intelligence, MI, Morgan Kaufmann, San Mateo, CA, 1989, pp. 800-805.
  • 12
    • 0026154832 scopus 로고
    • The use of background knowledge in decision tree induction
    • Nunez M. The use of background knowledge in decision tree induction. Machine Learning 6 (1991) 231-250
    • (1991) Machine Learning , vol.6 , pp. 231-250
    • Nunez, M.1
  • 13
    • 84949680505 scopus 로고    scopus 로고
    • A. Papagelis, D. Kalles, GATree: Genetically evolved decision trees, in: 12th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'00, 2000, pp. 203-206.
    • A. Papagelis, D. Kalles, GATree: Genetically evolved decision trees, in: 12th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'00, 2000, pp. 203-206.
  • 14
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan J.R. Induction of decision trees. Machine Learning 1 (1986) 81-106
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 16
    • 0027682298 scopus 로고
    • Cost-sensitive learning of classification knowledge and its application in robotic
    • Tan M. Cost-sensitive learning of classification knowledge and its application in robotic. Machine Learning Journal 13 (1993) 7-33
    • (1993) Machine Learning Journal , vol.13 , pp. 7-33
    • Tan, M.1
  • 17
    • 0000865580 scopus 로고
    • Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
    • Turney P.D. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of Artificial Intelligence Research 2 (1995) 369-409
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 369-409
    • Turney, P.D.1
  • 19
    • 33845400217 scopus 로고    scopus 로고
    • Relaxing instance boundaries for the search of splitting points of numerical attributes in classification trees
    • Yen E., and Chu I.-W.M. Relaxing instance boundaries for the search of splitting points of numerical attributes in classification trees. Information Sciences 177 (2007) 1276-1289
    • (2007) Information Sciences , vol.177 , pp. 1276-1289
    • Yen, E.1    Chu, I.-W.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.