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Volumn 17, Issue 11, 2005, Pages 1542-1556

Cost-constrained data acquisition for intelligent data preparation

Author keywords

Cost sensitive; Data acquisition; Data mining; Instance ranking; Intelligent data preparation; Machine learning

Indexed keywords

COST-SENSITIVE; ECONOMICAL FACTOR (EF); INSTANCE RANKING; INTELLIGENT DATA PREPARATION;

EID: 28244453154     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2005.176     Document Type: Article
Times cited : (39)

References (38)
  • 6
    • 0031380978 scopus 로고    scopus 로고
    • Knowing what doesn't matter: Exploiting the omission of irrelevant data
    • Dec.
    • R. Greiner, A. Grove, and A. Kogan, "Knowing What Doesn't Matter: Exploiting the Omission of Irrelevant Data," Artificial Intelligence, vol. 97, nos. 1-2, Dec. 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2
    • Greiner, R.1    Grove, A.2    Kogan, A.3
  • 8
    • 0001586968 scopus 로고    scopus 로고
    • Learning belief networks in the presence of missing values and hidden variables
    • N. Friedman, "Learning Belief Networks in the Presence of Missing Values and Hidden Variables," Proc. Int'l Conf. Machine learning, pp. 125-133, 1997.
    • (1997) Proc. Int'l Conf. Machine Learning , pp. 125-133
    • Friedman, N.1
  • 12
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • P. Clark and T. Niblett, "The CN2 Induction Algorithm," Machine Learning, vol. 3, no. 4, pp. 261-283, 1989.
    • (1989) Machine Learning , vol.3 , Issue.4 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 13
    • 0003563503 scopus 로고
    • Experiments in automatic learning of medical diagnostic rules
    • Jozef Stefan Inst., Ljubljana, Yugoslavia
    • I. Kononenko, I. Bratko, and E. Roskar, "Experiments in Automatic Learning of Medical Diagnostic Rules," technical report, Jozef Stefan Inst., Ljubljana, Yugoslavia, 1984.
    • (1984) Technical Report
    • Kononenko, I.1    Bratko, I.2    Roskar, E.3
  • 14
    • 0242544037 scopus 로고    scopus 로고
    • A pre-processing method to deal with missing values by integrating clustering and regression techniques
    • S. Tseng, K. Wang, and C. Lee, "A Pre-Processing Method to Deal with Missing Values by Integrating Clustering and Regression Techniques," Applied Artificial Intelligence, vol. 17, nos. 5-6, pp. 535-544, 2003.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 535-544
    • Tseng, S.1    Wang, K.2    Lee, C.3
  • 16
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J. Quinlan, "Induction of Decision Trees," Machine Learning, vol. 1, pp. 81-106, 1986.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.1
  • 17
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest neighbor rules using edited data
    • D. Wilson, "Asymptotic Properties of Nearest Neighbor Rules Using Edited Data," IEEE Trans. Systems, Man, and Cybernetics, vol. 2, pp. 408-421, 1972.
    • (1972) IEEE Trans. Systems, Man, and Cybernetics , vol.2 , pp. 408-421
    • Wilson, D.1
  • 18
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • D. Aha, D. Kibler, and M. Albert, "Instance-Based Learning Algorithms," Machine Learning, vol. 6, no. 1, pp. 37-66, 1991.
    • (1991) Machine Learning , vol.6 , Issue.1 , pp. 37-66
    • Aha, D.1    Kibler, D.2    Albert, M.3
  • 19
    • 0343081513 scopus 로고    scopus 로고
    • Reduction techniques for examplar-based learning algorithms
    • D. Wilson and T. Martinez, "Reduction Techniques for Examplar-Based Learning Algorithms," Machine Learning, vol. 38, no. 3, pp. 257-268, 2000.
    • (2000) Machine Learning , vol.38 , Issue.3 , pp. 257-268
    • Wilson, D.1    Martinez, T.2
  • 20
    • 0000027741 scopus 로고
    • Learning structural descriptions from examples
    • New York: McGraw-Hill
    • P. Winston, "Learning Structural Descriptions from Examples." The Psychology of Computer Vision, New York: McGraw-Hill, 1975.
    • (1975) The Psychology of Computer Vision
    • Winston, P.1
  • 22
  • 23
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • D. Cohn, L. Atlas, and R. Ladner, "Improving Generalization with Active Learning," Machine Learning, vol. 15, pp. 201-221, 1994.
    • (1994) Machine Learning , vol.15 , pp. 201-221
    • Cohn, D.1    Atlas, L.2    Ladner, R.3
  • 25
    • 0000695404 scopus 로고
    • Information-based objective functions for active data selection
    • D. Mackay, "Information-Based Objective Functions for Active Data Selection," Neural Computation, vol. 4, no. 4, pp. 590-604, 1992.
    • (1992) Neural Computation , vol.4 , Issue.4 , pp. 590-604
    • Mackay, D.1
  • 31
    • 0000865580 scopus 로고
    • Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
    • P. Turney, "Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm," J. Artificial Intelligence Research, vol. 2, pp. 369-409, 1995.
    • (1995) J. Artificial Intelligence Research , vol.2 , pp. 369-409
    • Turney, P.1
  • 33
    • 0026154832 scopus 로고
    • The use of background knowledge in decision tree induction
    • M. Nunez, "The Use of Background Knowledge in Decision Tree Induction," Machine Learning, vol. 6, pp. 231-250, 1991.
    • (1991) Machine Learning , vol.6 , pp. 231-250
    • Nunez, M.1
  • 34
    • 0027682298 scopus 로고
    • Cost-sensitive learning of classification knowledge and applications in robotics
    • M. Tan, "Cost-Sensitive Learning of Classification Knowledge and Applications in Robotics," Machine Learning, vol. 13, 1993.
    • (1993) Machine Learning , vol.13
    • Tan, M.1
  • 37
    • 0035500276 scopus 로고    scopus 로고
    • Understanding the crucial role of attribute interaction in data mining
    • A. Freitas, "Understanding the Crucial Role of Attribute Interaction in Data Mining," Artificial Intelligence Rev., vol. 16, no. 3, pp. 177-199, 2001.
    • (2001) Artificial Intelligence Rev. , vol.16 , Issue.3 , pp. 177-199
    • Freitas, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.