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Volumn 5691 LNCS, Issue , 2009, Pages 415-427

Finding N-most prevalent colocated event sets

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMIC DESIGN; CO-LOCATED; CO-LOCATION PATTERNS; COLOCATIONS; EVENT SETS; GEOGRAPHIC AREAS; PATTERN SIZE; PRIOR KNOWLEDGE; SPATIAL CO-LOCATION PATTERNS; SPATIAL DATA; SPATIAL DATASETS; SPATIAL EVENTS;

EID: 70349336149     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03730-6_33     Document Type: Conference Paper
Times cited : (12)

References (23)
  • 2
    • 4544293405 scopus 로고    scopus 로고
    • Mining Frequent Itemsets without Support Threshold:With and Without Item Constraints
    • Cheung, Y., Fu, A.W.: Mining Frequent Itemsets without Support Threshold:With and Without Item Constraints. IEEE Transactions on Knowledge and Data Engineering 16(9) (2004)
    • (2004) IEEE Transactions on Knowledge and Data Engineering , vol.16 , Issue.9
    • Cheung, Y.1    Fu, A.W.2
  • 4
    • 44649143221 scopus 로고    scopus 로고
    • Towards Region Discovery in Spatial Datasets
    • Washio, T, Suzuki, E, Ting, K.M, Inokuchi, A, eds, PAKDD 2008, Springer, Heidelberg
    • Ding, W., Jiamthapthaksin, R., Parmar, R., Jiang, D., Stepinski, T.F., Eick, C.F.: Towards Region Discovery in Spatial Datasets. In: Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (eds.) PAKDD 2008. LNCS, vol. 5012, pp. 88-99. Springer, Heidelberg (2008)
    • (2008) LNCS , vol.5012 , pp. 88-99
    • Ding, W.1    Jiamthapthaksin, R.2    Parmar, R.3    Jiang, D.4    Stepinski, T.F.5    Eick, C.F.6
  • 9
    • 26944459582 scopus 로고    scopus 로고
    • Can we apply projection based frequent pattern mining paradigm to spatial co-location mining?
    • Ho, T.-B, Cheung, D, Liu, H, eds, PAKDD 2005, Springer, Heidelberg
    • Huang, Y., Zhang, L., Yu, P.: Can we apply projection based frequent pattern mining paradigm to spatial co-location mining? In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS, vol. 3518, pp. 719-725. Springer, Heidelberg (2005)
    • (2005) LNCS , vol.3518 , pp. 719-725
    • Huang, Y.1    Zhang, L.2    Yu, P.3
  • 19
    • 70349332225 scopus 로고    scopus 로고
    • Yan, X., Han, J.: gSpan: Graph-Baseed Substructure Pattern Mining. In: IEEE International Conference on Data Mining (2001)
    • Yan, X., Han, J.: gSpan: Graph-Baseed Substructure Pattern Mining. In: IEEE International Conference on Data Mining (2001)
  • 20
    • 70349311005 scopus 로고    scopus 로고
    • Finding N-Most Prevalent Colocated Event Sets: A Summary of Results
    • Technical Report
    • Yoo, J.S., Bow, M.: Finding N-Most Prevalent Colocated Event Sets: A Summary of Results. Technical Report (2009), http://users.ipfw.edu/yooj/ publications/NMost-Summary.pdf
    • (2009)
    • Yoo, J.S.1    Bow, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.