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Volumn 2003-January, Issue , 2003, Pages 181-191

Spatio-temporal data mining with expected distribution domain generalization graphs

Author keywords

[No Author keywords available]

Indexed keywords

GEOGRAPHICAL REGIONS; TEMPORAL LOGIC;

EID: 33646261717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TIME.2003.1214895     Document Type: Conference Paper
Times cited : (4)

References (25)
  • 3
    • 23044527560 scopus 로고    scopus 로고
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    • (2001) Data Mining and Knowledge Discovery , vol.5 , Issue.3 , pp. 213-246
    • Bay, S.D.1    Pazzani, M.J.2
  • 6
    • 0002546079 scopus 로고
    • Attribute-oriented induction in relational databases
    • G. Piatetsky-Shapiro and W.J. Frawley (eds), AAAI Press
    • Y. Cai, N. Cercone, and J. Han. Attribute-oriented Induction in Relational Databases. In G. Piatetsky-Shapiro and W.J. Frawley (eds), Knowledge Discovery in Databases, AAAI Press, 1991, 213-228.
    • (1991) Knowledge Discovery in Databases , pp. 213-228
    • Cai, Y.1    Cercone, N.2    Han, J.3
  • 9
    • 84944086172 scopus 로고    scopus 로고
    • http://interactive.usask.ca/skinteractive/modules/environ ment/ecoregions.
  • 10
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • U.M. Fayyad, G. Piatetsky-Shapiro, R. Smyth, and R. Uthurusamy (eds), AAAI Press
    • U.M. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. From Data Mining to Knowledge Discovery: An Overview. In U.M. Fayyad, G. Piatetsky-Shapiro, R. Smyth, and R. Uthurusamy (eds), Advances in Knowledge Discovery and Data Mining, AAAI Press, 1996, 1-34.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 1-34
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 15
    • 22844455414 scopus 로고    scopus 로고
    • Heuristic measures of interestingness
    • Prague, September
    • R.J. Hilderman and H.J. Hamilton, Heuristic Measures of Interestingness. In Proc. PKDD'99, 232-241, Prague, September 1999.
    • (1999) Proc. PKDD'99 , pp. 232-241
    • Hilderman, R.J.1    Hamilton, H.J.2
  • 20
    • 0041454634 scopus 로고    scopus 로고
    • Discovering calendar-based temporal association rules
    • Cividale del Friuli Italy, June
    • Y. Li, P. Ning, X.S. Wang and S. Jajodia, Discovering Calendar-based Temporal Association Rules, in Proc. TIME'01, 111-118 Cividale del Friuli Italy, June 2001.
    • (2001) Proc. TIME'01 , pp. 111-118
    • Li, Y.1    Ning, P.2    Wang, X.S.3    Jajodia, S.4
  • 21
    • 22844456088 scopus 로고    scopus 로고
    • Adding temporal semantics to association rules
    • Prague, September
    • C. P. Rainsford and J. F. Roddick, Adding Temporal Semantics to Association Rules, in Proc. PKDD'99, 504-509, Prague, September, 1999.
    • (1999) Proc. PKDD'99 , pp. 504-509
    • Rainsford, C.P.1    Roddick, J.F.2
  • 25
    • 0002598545 scopus 로고    scopus 로고
    • From contingency tables to various forms of knowledge in databases
    • U.M. Fayyad, G. Piatetsky-Shapiro, R. Smyth, and R. Uthurusamy, AAAI Press
    • J. Zytkow, From Contingency Tables to Various Forms of Knowledge in Databases. In U.M. Fayyad, G. Piatetsky-Shapiro, R. Smyth, and R. Uthurusamy, Advances in Knowledge Discovery and Data Mining, AAAI Press, 1996, 329-349.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 329-349
    • Zytkow, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.