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Volumn , Issue , 2003, Pages 445-449

Building knowledge discovery into a geo-spatial decision support system

Author keywords

Drought Risk Management; Geo spatial Decision Support; Knowledge Discovery; Spatio temporal Data Mining; Temporal Rule Discovery

Indexed keywords

ALGORITHMS; ATMOSPHERIC CHEMISTRY; DATA MINING; DATABASE SYSTEMS; DECISION MAKING; DECISION SUPPORT SYSTEMS; KNOWLEDGE ENGINEERING; RISK MANAGEMENT;

EID: 0037998997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/952613.952620     Document Type: Conference Paper
Times cited : (10)

References (9)
  • 4
    • 0037986782 scopus 로고    scopus 로고
    • Discovering representative episodal association rules from event sequences using frequent closed episode sets and event constraints
    • San Jose, California, USA, November
    • S. K. Harms, J. Deogun, J. Saquer, and T. Tadesse. Discovering representative episodal association rules from event sequences using frequent closed episode sets and event constraints. In Proceedings of the 2001 IEEE International Conference on Data Mining, pages 603-606, San Jose, California, USA, November 2001.
    • (2001) Proceedings of the 2001 IEEE International Conference on Data Mining , pp. 603-606
    • Harms, S.K.1    Deogun, J.2    Saquer, J.3    Tadesse, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.