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Volumn 8207 LNCS, Issue , 2013, Pages 19-31

Subjective interestingness in exploratory data mining

Author keywords

[No Author keywords available]

Indexed keywords

DIMENSIONALITY REDUCTION; EXPLORATORY DATA MINING; INTERESTINGNESS; ITEMSET; MATHEMATICAL FRAMEWORKS; RESEARCH OPPORTUNITIES; SUBGROUP DISCOVERY; USER NEED;

EID: 84887062395     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-41398-8_3     Document Type: Conference Paper
Times cited : (56)

References (23)
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    • Maximum entropy models and subjective interestingness: An application to tiles in binary databases
    • De Bie, T.: Maximum entropy models and subjective interestingness: an application to tiles in binary databases. Data Mining and Knowledge Discovery 23(3), 407-446 (2011)
    • (2011) Data Mining and Knowledge Discovery , vol.23 , Issue.3 , pp. 407-446
    • De Bie, T.1
  • 3
    • 0016102310 scopus 로고
    • A projection pursuit algorithm for exploratory data analysis
    • Friedman, J., Tukey, J.: A projection pursuit algorithm for exploratory data analysis. IEEE Transactions on Computers 100(9), 881-890 (1974)
    • (1974) IEEE Transactions on Computers , vol.100 , Issue.9 , pp. 881-890
    • Friedman, J.1    Tukey, J.2
  • 4
    • 35048813595 scopus 로고    scopus 로고
    • Tiling databases
    • Suzuki, E., Arikawa, S. (eds.) DS 2004. Springer, Heidelberg
    • Geerts, F., Goethals, B., Mielikäinen, T.: Tiling databases. In: Suzuki, E., Arikawa, S. (eds.) DS 2004. LNCS (LNAI), vol. 3245, pp. 278-289. Springer, Heidelberg (2004)
    • (2004) LNCS (LNAI) , vol.3245 , pp. 278-289
    • Geerts, F.1    Goethals, B.2    Mielikäinen, T.3
  • 5
    • 33749319347 scopus 로고    scopus 로고
    • Interestingness measures for data mining: A survey
    • Geng, L., Hamilton, H.J.: Interestingness measures for data mining: A survey. ACMComputing Surveys 38(3), 9 (2006)
    • (2006) ACMComputing Surveys , vol.38 , Issue.3 , pp. 9
    • Geng, L.1    Hamilton, H.J.2
  • 11
    • 84868026866 scopus 로고    scopus 로고
    • Formalizing complex prior information to quantify subjective interestingness of frequent pattern sets
    • Hollmén, J., Klawonn, F., Tucker, A. (eds.) IDA 2012. Springer, Heidelberg
    • Kontonasios, K.-N., DeBie, T.: Formalizing complex prior information to quantify subjective interestingness of frequent pattern sets. In: Hollmén, J., Klawonn, F., Tucker, A. (eds.) IDA 2012. LNCS, vol. 7619, pp. 161-171. Springer, Heidelberg (2012)
    • (2012) LNCS , vol.7619 , pp. 161-171
    • Kontonasios, K.-N.1    DeBie, T.2
  • 21
    • 84887079164 scopus 로고    scopus 로고
    • Mining interesting patterns in multirelational data with n-ary relationships
    • Spyropoulou, E., De Bie, T., Boley, M.: Mining interesting patterns in multirelational data with n-ary relationships. In: Discovery Science (DS) (2013)
    • (2013) Discovery Science (DS)
    • Spyropoulou, E.1    De Bie, T.2    Boley, M.3
  • 22
    • 34249653461 scopus 로고    scopus 로고
    • Discovering significant patterns
    • Webb, G.: Discovering significant patterns. Machine Learning 68(1), 1-33 (2007)
    • (2007) Machine Learning , vol.68 , Issue.1 , pp. 1-33
    • Webb, G.1
  • 23


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.