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Volumn 3587 LNAI, Issue , 2005, Pages 651-659

Temporal approach to association rule mining using T-tree and P-tree

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DATA STRUCTURES; INFORMATION SCIENCE; STORAGE ALLOCATION (COMPUTER); TREES (MATHEMATICS);

EID: 26944446908     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11510888_64     Document Type: Conference Paper
Times cited : (21)

References (13)
  • 1
    • 0001882616 scopus 로고
    • Fast algorithm for mining association rule
    • Sept
    • R. Agrawal and R. Srikant, R: Fast algorithm for mining association rule. In VLDB'94 Chile, Sept (1994), pp-487-499.
    • (1994) VLDB'94 Chile , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 2
    • 84943235072 scopus 로고    scopus 로고
    • Computing association rules using partial totals
    • de Raedt, L. and Siebes, A. (Eds), Principles of Data Mining and Knowledge Discovery, Proc PKDD 2001
    • Coenen, F.P., Goulbourne, G. and Leng, P.H. (2001). Computing Association Rules Using Partial Totals. In de Raedt, L. and Siebes, A. (Eds), Principles of Data Mining and Knowledge Discovery, Proc PKDD 2001, Spring Verlag LNAI 2168, pp 54-66.
    • (2001) Spring Verlag LNAI , vol.2168 , pp. 54-66
    • Coenen, F.P.1    Goulbourne, G.2    Leng, P.H.3
  • 4
    • 10044238664 scopus 로고    scopus 로고
    • Mining frequent patterns in data streams at multiple timeGranularities
    • H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.)
    • Chris Giannella_, Jiawei Hany, Jian Peiz, Xifeng Yany, Philip S. Yu R: Mining Frequent Patterns in Data Streams at Multiple TimeGranularities, pg 191-210, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.), Next Generation Data Mining, (2003).
    • (2003) Next Generation Data Mining , pp. 191-210
    • Giannella, C.1    Hany, J.2    Peiz, J.3    Yany, X.4    Philip, S.5    Yu, R.6
  • 5
    • 26944500324 scopus 로고    scopus 로고
    • An approach to discovering temporal association rules
    • March 1..21
    • Juan M. Ale, Gustavo H. Rossi R: An approach to discovering temporal association rules, ACM SIGDD March 1..21,(2002).
    • (2002) ACM SIGDD
    • Ale, J.M.1    Rossi, G.H.2
  • 8
    • 84945276556 scopus 로고    scopus 로고
    • An updated bibliography of temporal, spatial, and spatio-temporal data mining research
    • John F. Roddick, Kathleen Hornsby, Myra Spiliopoulou: An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research. TSDM 2000: pp147-164.
    • TSDM , vol.2000 , pp. 147-164
    • Roddick, J.F.1    Hornsby, K.2    Spiliopoulou, M.3
  • 11
    • 0037293307 scopus 로고    scopus 로고
    • Discovering calendar- based temporal association rules
    • Elesvier publisher
    • Yingjiu Li, Peng Ning, X. Sean Wang, Sushil Jajodia. Discovering calendar- based temporal association rules, Data and Knowledge Engineering volume 4,Elesvier publisher, Volume 44 pp- 193-214, (2003).
    • (2003) Data and Knowledge Engineering Volume 4 , vol.44 , pp. 193-214
    • Li, Y.1    Ning, P.2    Wang, X.S.3    Jajodia, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.