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Volumn 124, Issue 4, 2002, Pages 923-926

A data mining approach for generation of control signatures

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; DECISION THEORY; PROCESS CONTROL; SET THEORY;

EID: 0036852485     PISSN: 10871357     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.1511524     Document Type: Article
Times cited : (17)

References (28)
  • 2
    • 0002419948 scopus 로고    scopus 로고
    • Beyond independence: Conditions for the optimality of the simple bayesian classifier
    • Morgan Kaufmann, Los Altos, CA
    • Domingos, P., and Pazzani, M., 1996, "Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier," Machine Learning: Proceedings of the Thirteenth International Conference, Morgan Kaufmann, Los Altos, CA, pp. 105-112.
    • (1996) Machine Learning: Proceedings of the Thirteenth International Conference , pp. 105-112
    • Domingos, P.1    Pazzani, M.2
  • 4
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J.R., 1986, "Induction of Decision Trees," Mach. Learn., 1(1), pp. 81-106.
    • (1986) Mach. Learn. , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 5
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • Clark, P., and Boswell, R., 1989, "The CN2 induction algorithm," Mach. Learn., 3(4), pp. 261-283.
    • (1989) Mach. Learn. , vol.3 , Issue.4 , pp. 261-283
    • Clark, P.1    Boswell, R.2
  • 10
    • 0000217085 scopus 로고
    • Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
    • Aha, D.W., 1992, "Tolerating Noisy, Irrelevant and Novel Attributes in Instance-Based Learning Algorithms," Int. J. Man-Mach. Stud., 36(2), pp. 267-287.
    • (1992) Int. J. Man-Mach. Stud. , vol.36 , Issue.2 , pp. 267-287
    • Aha, D.W.1
  • 13
    • 0031189666 scopus 로고    scopus 로고
    • A new version of the rule induction system LERS
    • Grzymala-Busse, J.W., 1997, "A New Version of the Rule Induction System LERS," Fundamenta Informaticae, 31, pp. 27-39.
    • (1997) Fundamenta Informaticae , vol.31 , pp. 27-39
    • Grzymala-Busse, J.W.1
  • 16
    • 0002412556 scopus 로고
    • A hierarchical classification system implementing a motivationally autonomous aninmat
    • Cliff, D., Husbands, P., Meyer, J.A., and S.W. Wilson, eds, MIT Press, Cambridge, MA
    • Donnart, J.Y., and Meyer, J.A., 1994, "A Hierarchical Classification System Implementing a Motivationally Autonomous Aninmat," Cliff, D., Husbands, P., Meyer, J.A., and S.W. Wilson, eds, Proceedings of the Third International Conference on Simulation of Adaptive Behavior, SAB94, MIT Press, Cambridge, MA, pp. 144-153.
    • (1994) Proceedings of the Third International Conference on Simulation of Adaptive Behavior, SAB94 , pp. 144-153
    • Donnart, J.Y.1    Meyer, J.A.2
  • 17
    • 0001387704 scopus 로고
    • Classifier fitness based on accuracy
    • Wilson, S.W., 1995, "Classifier Fitness Based on Accuracy," Evol. Comput., 3(2), pp. 149-175.
    • (1995) Evol. Comput. , vol.3 , Issue.2 , pp. 149-175
    • Wilson, S.W.1
  • 18
    • 0038250644 scopus 로고
    • Fast algorithms for mining association rules in large data bases
    • Almaden Research Center, San Jose, CA
    • Agraval, R., and Srikant, R., 1994, "Fast Algorithms for Mining Association Rules in Large Data Bases," IBM Research Report No. RJ 9839, Almaden Research Center, San Jose, CA.
    • (1994) IBM Research Report , vol.RJ 9839
    • Agraval, R.1    Srikant, R.2
  • 19
    • 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., 2000, "A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms," Mach. Learn., 40, pp. 203-228.
    • (2000) Mach. Learn. , vol.40 , pp. 203-228
    • Lim, T.-S.1    Loh, W.-Y.2    Shih, Y.-S.3
  • 25
    • 0034960598 scopus 로고    scopus 로고
    • Rough set theory: A data mining tool for semiconductor manufacturing
    • Kusiak, A., 2001, "Rough Set Theory: A Data Mining Tool for Semiconductor Manufacturing," IEEE Transactions on Electronics Packaging Manufacturing, 24(1), pp. 44-50.
    • (2001) IEEE Transactions on Electronics Packaging Manufacturing , vol.24 , Issue.1 , pp. 44-50
    • Kusiak, A.1
  • 27
    • 0035301511 scopus 로고    scopus 로고
    • Data mining analysis of printed-circuit board defects
    • Kusiak, A., and Kurasek, C., 2001, "Data Mining Analysis of Printed-Circuit Board Defects," IEEE Trans. Rob. Autom., 17(2), pp. 191-196.
    • (2001) IEEE Trans. Rob. Autom. , vol.17 , Issue.2 , pp. 191-196
    • Kusiak, A.1    Kurasek, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.