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Volumn , Issue , 2007, Pages 1-5

Dynamic index selection in data warehouses

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL QUERIES; DYNAMIC INDICES; FREQUENT ITEMSET MINING; INDEXING TECHNIQUES; JOIN OPERATION; PERFORMANCE ENHANCEMENTS; VERY LARGE DATUM;

EID: 50249186496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IIT.2007.4430394     Document Type: Conference Paper
Times cited : (7)

References (15)
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    • Aouiche, K.1    Darmont, J.2    Boussaïd, O.3    Bentayeb, F.4
  • 3
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  • 4
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    • Efficient mining of association rules using closed itemset lattices
    • Elsevier, Amsterdam
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    • (1999) Information Systems , vol.24 , Issue.1 , pp. 25-46
    • Pasquier, N.1    Bastide, Y.2    Taouil, R.3    Lakhal, L.4
  • 5
    • 84982781755 scopus 로고
    • Adaptive and automated index selection in RDBMS
    • rd International Conference on Extending Database Technology EDBT 92, Vienna, Austria;, Springer, Heidelberg
    • rd International Conference on Extending Database Technology (EDBT 92), Vienna, Austria; LNCS, Vol. 580, Springer, Heidelberg, 1992, pp. 277-292.
    • (1992) LNCS , vol.580 , pp. 277-292
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  • 6
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    • On the selection of secondary indices in relational databases
    • Elsevier, Amsterdam
    • S. Choenni, H.M. Blanken, and T. Chang, "On the selection of secondary indices in relational databases", Data Knowledge Engineering, Vol. 11, No. 3, Elsevier, Amsterdam, 1993, pp. 207-238.
    • (1993) Data Knowledge Engineering , vol.11 , Issue.3 , pp. 207-238
    • Choenni, S.1    Blanken, H.M.2    Chang, T.3
  • 9
    • 85080590785 scopus 로고    scopus 로고
    • th International Workshop on Design and Management of Data Warehouses (DMDW 02), Toronto, Canada; CEUR Workshop Proceedings, 58, CEUR-WS.org, Aachen, 2002, pp. 33-42.
    • th International Workshop on Design and Management of Data Warehouses (DMDW 02), Toronto, Canada; CEUR Workshop Proceedings, Vol. 58, CEUR-WS.org, Aachen, 2002, pp. 33-42.
  • 10
    • 9444246959 scopus 로고    scopus 로고
    • A genetic algorithm for the index selection problem
    • Applications of Evolutionary Computing EvoWorkshops 03, Essex, UK;, Springer, Heidelberg
    • J. Kratika, I. Ljubic, and D. Tosic, "A genetic algorithm for the index selection problem", Applications of Evolutionary Computing (EvoWorkshops 03), Essex, UK; LNCS, Vol. 2611, Springer, Heidelberg, 2003, pp. 281-291.
    • (2003) LNCS , vol.2611 , pp. 281-291
    • Kratika, J.1    Ljubic, I.2    Tosic, D.3
  • 11
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    • Generating frequent itemsets incrementally: Two novel approaches based on Galois lattice theory
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    • (2002) Journal of Experimental & Theoretical Artificial Intelligence , vol.14 , pp. 115-142
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  • 14
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    • GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets
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  • 15
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.