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Volumn , Issue , 2009, Pages 12-37

From change mining to relevance feedback: A unified view on assessing rule interestingness

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EID: 84892288574     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-60566-404-0.ch002     Document Type: Chapter
Times cited : (5)

References (43)
  • 1
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. ACM SIGMOD Record 22(2),207-216
    • (1993) ACM SIGMOD Record , vol.22 , Issue.2 , pp. 207-216
    • Agrawal, R.1    Imieliński, T.2    Swami, A.3
  • 3
    • 9644300959 scopus 로고    scopus 로고
    • Mining changes in association rules: A fuzzy approach
    • Au, W.-H., & Chan, K. (2005). Mining changes in association rules: A fuzzy approach. Fuzzy Sets and Systems, 149(1), 87-104.
    • (2005) Fuzzy Sets and Systems , vol.149 , Issue.1 , pp. 87-104
    • Au, W.-H.1    Chan, K.2
  • 12
  • 13
    • 0002605320 scopus 로고
    • Some quick sign tests for trend in location and dispersion
    • Cox, D., & Stuart, A. (1955). Some quick sign tests for trend in location and dispersion. Biometrika, 42, 80-95.
    • (1955) Biometrika , vol.42 , pp. 80-95
    • Cox, D.1    Stuart, A.2
  • 17
    • 0002045145 scopus 로고    scopus 로고
    • The advantages of evolutionary computation
    • In D. Lundh, B. Olsson, & A. Narayanan, (Eds.), World Scientific Press, Singapore
    • Fogel, D. B. (1997). The advantages of evolutionary computation. In D. Lundh, B. Olsson, & A. Narayanan, (Eds.), Bio-Computing and Emergent Computation. World Scientific Press, Singapore.
    • (1997) Bio-Computing and Emergent Computation
    • Fogel, D.B.1
  • 18
    • 33749319347 scopus 로고    scopus 로고
    • Interestingness measures for data mining: A survey
    • Geng, L., & Hamilton, H. J. (2006). Interestingness measures for data mining: A survey. ACM Computing Surveys, 38(3), 9.
    • (2006) ACM Computing Surveys , vol.38 , Issue.3 , pp. 9
    • Geng, L.1    Hamilton, H.J.2
  • 22
    • 0034262326 scopus 로고    scopus 로고
    • Analyzing the subjective interestingness of association rules
    • Liu, B., Hsu, W., Chen, S., & Ma, Y. (2000). Analyzing the subjective interestingness of association rules. IEEE Intelligent Systems, 15(5), 47-55.
    • (2000) IEEE Intelligent Systems , vol.15 , Issue.5 , pp. 47-55
    • Liu, B.1    Hsu, W.2    Chen, S.3    Ma, Y.4
  • 24
    • 78149338936 scopus 로고    scopus 로고
    • Analyzing the interestingness of association rules from the temporal dimension
    • In, IEEE Computer Society
    • Liu, B., Ma, Y., & Lee, R.(2001b). Analyzing the interestingness of association rules from the temporal dimension. In Proceedings of the IEEE International Conference on Data Mining, (pp. 377-384). IEEE Computer Society.
    • (2001) Proceedings of the IEEE International Conference on Data Mining , pp. 377-384
    • Liu, B.1    Ma, Y.2    Lee, R.3
  • 25
    • 0000570668 scopus 로고
    • Nonparametric tests against trend
    • Mann, H. (1945). Nonparametric tests against trend. Econometrica, 13, 245-259.
    • (1945) Econometrica , vol.13 , pp. 245-259
    • Mann, H.1
  • 26
    • 28544452631 scopus 로고    scopus 로고
    • A survey of interestingness measures for knowledge discovery
    • Cambridge University Press
    • McGarry, K. (2005). A survey of interestingness measures for knowledge discovery. The Knowledge Engineering Review, 20(1), 39-61. Cambridge University Press.
    • (2005) The Knowledge Engineering Review , vol.20 , Issue.1 , pp. 39-61
    • McGarry, K.1
  • 27
    • 0033345672 scopus 로고    scopus 로고
    • Unexpectedness as a measure of interestingness in knowledge discovery
    • Padmanabhan, B. & Tuzhilin, A. (1999). Unexpectedness as a measure of interestingness in knowledge discovery. Decision Support Systems, 27.
    • (1999) Decision Support Systems , pp. 27
    • Padmanabhan, B.1    Tuzhilin, A.2
  • 29
    • 0036643196 scopus 로고    scopus 로고
    • Knowledge refinement based on the discovery of unexpected patterns in data mining
    • Padmanabhan, B., & Tuzhilin, A. (2002). Knowledge refinement based on the discovery of unexpected patterns in data mining. Decision Support Systems, 33(3), 309-321.
    • (2002) Decision Support Systems , vol.33 , Issue.3 , pp. 309-321
    • Padmanabhan, B.1    Tuzhilin, A.2
  • 30
    • 2942664322 scopus 로고    scopus 로고
    • Knowledge discovery in databases: 10 years after
    • Piatetsky-Shapiro, G. (2000). Knowledge discovery in databases: 10 years after. SIGKDD Explorations Newsletter, 1(2), 59-61.
    • (2000) SIGKDD Explorations Newsletter , vol.1 , Issue.2 , pp. 59-61
    • Piatetsky-Shapiro, G.1
  • 35
    • 45549117987 scopus 로고
    • Term weighting approaches in automatic text retrieval
    • Salton, G., & Buckley, C. (1987). Term weighting approaches in automatic text retrieval. Information Processing and Management, 5(24), 513-523.
    • (1987) Information Processing and Management , vol.5 , Issue.24 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 38
    • 1242308945 scopus 로고    scopus 로고
    • Selecting the right objective measure for association analysis
    • Tan, P.-N., Kumar, V., & Srivastava, J. (2004). Selecting the right objective measure for association analysis. Information Systems, 29(4), 293-313.
    • (2004) Information Systems , vol.29 , Issue.4 , pp. 293-313
    • Tan, P.-N.1    Kumar, V.2    Srivastava, J.3
  • 41
    • 0023855863 scopus 로고
    • On ordered weighted averaging aggregation operators in multicriteria decisionmaking
    • Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans. Syst. Man Cybern., 18(1), 183-190.
    • (1988) IEEE Trans. Syst. Man Cybern , vol.18 , Issue.1 , pp. 183-190
    • Yager, R.R.1
  • 42
    • 0002844880 scopus 로고    scopus 로고
    • On the inclusion of importances in owa aggregations
    • In, Norwell, MA, USA. Kluwer Academic Publishers
    • Yager, R. R. (1997). On the inclusion of importances in owa aggregations. In The ordered weighted averaging operators: theory and applications, (pp. 41-59), Norwell, MA, USA. Kluwer Academic Publishers.
    • (1997) The Ordered Weighted Averaging Operators: Theory and Applications , pp. 41-59
    • Yager, R.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.