메뉴 건너뛰기




Volumn , Issue , 2005, Pages 297-304

Interesting knowledge patterns in databases

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84870166356     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59140-573-3.ch039     Document Type: Chapter
Times cited : (1)

References (37)
  • 3
    • 9744248703 scopus 로고    scopus 로고
    • Knowledge management and knowledge management systems: Conceptual foundations and research issues
    • Alavi, M., & Leidner, D.E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136.
    • (2001) MIS Quarterly , vol.25 , Issue.1 , pp. 107-136
    • Alavi, M.1    Leidner, D.E.2
  • 10
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy (Eds.), AAAI/MIT Press
    • Fayyad, U.M., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery: An overview. In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy (Eds.), Advances in knowledge discovery and data mining (pp. 1-34). AAAI/MIT Press.
    • (1996) Advances In Knowledge Discovery and Data Mining , pp. 1-34
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 12
    • 0033207925 scopus 로고    scopus 로고
    • On rule interestingness measures
    • Freitas, A.A. (1999). On rule interestingness measures. Knowledge-Based Systems, 12, 309-315.
    • (1999) Knowledge-Based Systems , vol.12 , pp. 309-315
    • Freitas, A.A.1
  • 14
    • 23044510468 scopus 로고    scopus 로고
    • Visualizing data mining results with domain generalization graphs
    • U. M. Fayyad, G. G. Grinstein, & A. Wierse Andreas (Eds.), Academic Press
    • Hilderman, R.J., Li, L., & Hamilton, H.J. (2002). Visualizing data mining results with domain generalization graphs. In U. M. Fayyad, G. G. Grinstein, & A. Wierse Andreas (Eds.), Information visualization in data mining and knowledge discovery (pp. 251-270). Academic Press.
    • (2002) Information Visualization In Data Mining and Knowledge Discovery , pp. 251-270
    • Hilderman, R.J.1    Li, L.2    Hamilton, H.J.3
  • 20
    • 0013024811 scopus 로고    scopus 로고
    • Beyond intra-transaction association analysis: Mining multi-dimensional intertransaction association rules
    • Lu, H., Feng, L., & Han, J. (2000). Beyond intra-transaction association analysis: Mining multi-dimensional intertransaction association rules. ACM Transactions on Information Systems, 18(4), 423-454.
    • (2000) ACM Transactions On Information Systems , vol.18 , Issue.4 , pp. 423-454
    • Lu, H.1    Feng, L.2    Han, J.3
  • 22
    • 0003275596 scopus 로고    scopus 로고
    • Selecting and reporting what is interesting: The KEFIR application to healthcare data
    • U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy (Eds.), AAAI/MIT Press
    • Matheus, C., Piatetsky-Shapiro, G., & McNeill, D. (1996). Selecting and reporting what is interesting: The KEFIR application to healthcare data. In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy (Eds.), Advances in knowledge discovery and data mining (pp. 495-516). AAAI/MIT Press.
    • (1996) Advances In Knowledge Discovery and Data Mining , pp. 495-516
    • Matheus, C.1    Piatetsky-Shapiro, G.2    McNeill, D.3
  • 24
    • 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(3), 303-318.
    • (1999) Decision Support Systems , vol.27 , Issue.3 , pp. 303-318
    • Padmanabhan, B.1    Tuzhilin, A.2
  • 27
    • 2942691468 scopus 로고    scopus 로고
    • What's interesting about Cricket?: On thresholds and anticipation in discovered rules
    • ACM Press
    • Roddick, J.F., & Rice S. (2001). What's interesting about Cricket?: On thresholds and anticipation in discovered rules. ACM SIGKDD Explorations Newsletter, 3(1), 1-5, ACM Press.
    • (2001) ACM SIGKDD Explorations Newsletter , vol.3 , Issue.1 , pp. 1-5
    • Roddick, J.F.1    Rice, S.2
  • 29
    • 3543128814 scopus 로고    scopus 로고
    • A framework for evaluating knowledge-based interestingness of association rules
    • Shekar, B., & Natarajan, R. (2004a). A framework for evaluating knowledge-based interestingness of association rules. Fuzzy Optimization and Decision Making, 3(2), 157-185.
    • (2004) Fuzzy Optimization and Decision Making , vol.3 , Issue.2 , pp. 157-185
    • Shekar, B.1    Natarajan, R.2
  • 34
    • 1242308945 scopus 로고    scopus 로고
    • Selecting the right interestingness measure for association patterns
    • Tan, P., Kumar, V., & Srivastava, J. (2004). Selecting the right interestingness measure for association patterns. Information Systems, 29(4), 293-331.
    • (2004) Information Systems , vol.29 , Issue.4 , pp. 293-331
    • Tan, P.1    Kumar, V.2    Srivastava, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.