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Volumn 3, Issue , 2008, Pages 162-1611

Efficient periodicity mining of sequential patterns in a post-mining environment

Author keywords

Incremental data mining; Periodic patterns; Post mining environment; Sequential pattern

Indexed keywords

ASSOCIATION RULE MINING; DATA SETS; INCREMENTAL DATA; KEY ATTRIBUTES; MINING ENVIRONMENTS; MINING PROCESS; MINING TECHNIQUES; PERIODIC PATTERN; PERIODICITY MINING; POST MINING ENVIRONMENT; PROBLEM DEFINITION; SEQUENCE OF EVENTS; SEQUENTIAL PATTERNS; SEQUENTIAL-PATTERN MINING; SWITCHING MECHANISM; VALIDATION PROCESS;

EID: 78650453760     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IS.2008.4670538     Document Type: Conference Paper
Times cited : (4)

References (9)
  • 1
    • 84956869225 scopus 로고    scopus 로고
    • Mining temporal features in association rules
    • Prague, Czech Republic
    • X. Chen and I. Petrounias, Mining Temporal Features in Association Rules, Proc. of PKDD'99, Prague, Czech Republic, pp.295-300.
    • Proc. of PKDD'99 , pp. 295-300
    • Chen, X.1    Petrounias, I.2
  • 4
    • 0034592751 scopus 로고    scopus 로고
    • Mining asynchronous periodic patterns in time series data
    • Yang, J., Wang, W., and Yu, P.S., Mining asynchronous periodic patterns in time series data, in Proceedings of KDD, 2000 p. 275-279.
    • (2000) Proceedings of KDD , pp. 275-279
    • Yang, J.1    Wang, W.2    Yu, P.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.