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Volumn 8, Issue 4, 2009, Pages 345-352

PPCI algorithm for mining temporal association rules in large databases

Author keywords

Counting inference; Exhibition period; Frequent itemset; Temporal association rule

Indexed keywords


EID: 77955278139     PISSN: 02196492     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219649209002440     Document Type: Article
Times cited : (11)

References (19)
  • 4
    • 84897375957 scopus 로고    scopus 로고
    • An approach to discovering temporal association rules
    • Ale and G Rossi (2000). An approach to discovering temporal association rules. ACM Symposium on Applied Computing.
    • (2000) ACM Symposium on Applied Computing
    • Ale1    Rossi, G.2
  • 5
    • 84892184035 scopus 로고    scopus 로고
    • Levelwise search of frequent patterns with counting inference
    • Bastide et al. (2000). Levelwise search of frequent patterns with counting inference. Proceedings of the SIGMOD Conference
    • (2000) Proceedings of the SIGMOD Conference
    • Bastide1
  • 10
    • 0042850501 scopus 로고    scopus 로고
    • Progressive partition miner: An efficient algorithm for mining general temporal association rules
    • Lee, C-H and M-S Chen (2003). Progressive partition miner: An efficient algorithm for mining general temporal association rules. IEEE Transactions on Knowledge and Data Engineering, 15, 1004-1017.
    • (2003) IEEE Transactions on Knowledge and Data Engineering , vol.15 , pp. 1004-1017
    • Lee, C.-H.1    Chen, M.-S.2
  • 13
    • 0041454634 scopus 로고    scopus 로고
    • Discovering calendar-based temporal association rules
    • Li, Y, P Ning, S Wang and S Jajodia (2001). Discovering calendar-based temporal association rules. Time, 111-118.
    • (2001) Time , pp. 111-118
    • Li, Y.1    Ning, P.2    Wang, S.3    Jajodia, S.4
  • 14
    • 84892150427 scopus 로고    scopus 로고
    • Counting inference approach to discover calendarbased temporal association rules
    • Pandey, A, N Bhargava and KR Pardasani (2007). Counting inference approach to discover calendarbased temporal association rules. SPIT-IEEE Colloquium, 5, 55.
    • (2007) SPIT-IEEE Colloquium , vol.5 , pp. 55
    • Pandey, A.1    Bhargava, N.2    Pardasani, K.R.3
  • 15
    • 0031220368 scopus 로고    scopus 로고
    • Using a hash-based method with transaction trimming for mining association rules
    • Park, JS and MS Chen (1997). Using a hash-based method with transaction trimming for mining association rules. IEEE Transactions on Knowledge and Data Engineering, 5, 813-825.
    • (1997) IEEE Transactions on Knowledge and Data Engineering , vol.5 , pp. 813-825
    • Park, J.S.1    Chen, M.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.