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Volumn , Issue , 2004, Pages 38-47

PrefixCube: Prefix-sharing condensed data cube

Author keywords

BST; Cuboid; OLAP; Prefix sharing; PrefixCube

Indexed keywords

ALGORITHMS; BOUNDARY CONDITIONS; DATA REDUCTION; DECISION SUPPORT SYSTEMS; REDUNDANCY; SEMANTICS;

EID: 19644380710     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (12)
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    • Beyer, K.1    Ramakrishnan, R.2
  • 2
    • 19644397169 scopus 로고    scopus 로고
    • Indexing and incremental updating condensed data cube
    • Cambridge, Massachusetts
    • J. Feng, H. Si and Y. Feng. Indexing and Incremental Updating Condensed Data Cube. In Proc. of SSDBM, pages 23-32, Cambridge, Massachusetts, 2003.
    • (2003) Proc. of SSDBM , pp. 23-32
    • Feng, J.1    Si, H.2    Feng, Y.3
  • 3
    • 0029752925 scopus 로고    scopus 로고
    • Data cube: A relational operator generalizing group-by, cross-tab, and sub-totals
    • New Orleans
    • J. Gray, A. Bosworth, A. Layman and H. Pirahesh. Data Cube: A Relational Operator Generalizing Group-By, Cross-Tab, and Sub-Totals. In Proc. of ICDE, pages 152-159, New Orleans, 1996.
    • (1996) Proc. of ICDE , pp. 152-159
    • Gray, J.1    Bosworth, A.2    Layman, A.3    Pirahesh, H.4
  • 4
    • 0028447111 scopus 로고
    • Quickly generating billion-record synthetic databases
    • Minneapolis, Minnesota, USA
    • J. Gray, P. Sundaresan, S. Englert, K. Baclawski and P. J. Weinberger. Quickly Generating Billion-Record Synthetic Databases. In Proc. of ACM SIGMOD, pages 243-252, Minneapolis, Minnesota, USA, 1994. http://research.microsoft.com/~Gray/DBGen/
    • (1994) Proc. of ACM SIGMOD , pp. 243-252
    • Gray, J.1    Sundaresan, P.2    Englert, S.3    Baclawski, K.4    Weinberger, P.J.5
  • 6
    • 2442673631 scopus 로고    scopus 로고
    • Quotient cube: How to summarize the semantics of a data cube
    • Hong Kong, China
    • L. V. S. Lakshmanan, J. Pei and J. Han. Quotient Cube: How to Summarize the Semantics of a Data Cube. In Proc. of VLDB, pages 766-777, Hong Kong, China, 2002.
    • (2002) Proc. of VLDB , pp. 766-777
    • Lakshmanan, L.V.S.1    Pei, J.2    Han, J.3
  • 7
    • 1142291601 scopus 로고    scopus 로고
    • QC-trees: An efficient summary structure for semantic OLAP
    • San Diego, California
    • L. V. S. Lakshmanan, J. Pei and Y. Zhao. QC-Trees: An Efficient Summary Structure for Semantic OLAP. In Proc. of ACM SIGMOD, pages 64-75, San Diego, California, 2003.
    • (2003) Proc. of ACM SIGMOD , pp. 64-75
    • Lakshmanan, L.V.S.1    Pei, J.2    Zhao, Y.3
  • 8
    • 84979682445 scopus 로고    scopus 로고
    • Data compression in Oracle
    • Berlin, Germany
    • M. Poess and D. Potapov. Data Compression in Oracle. In Proc. of VLDB, pages 937-947, Berlin, Germany, 2003.
    • (2003) Proc. of VLDB , pp. 937-947
    • Poess, M.1    Potapov, D.2
  • 9
    • 0031163166 scopus 로고    scopus 로고
    • Cubetree: Organization of and bulk incremental updates on the data cube
    • Tucson, Arizona, USA
    • N. Roussopoulos, Y. Kotidis and M. Roussopoulos. Cubetree: Organization of and Bulk Incremental Updates on the Data Cube. In Proc. of ACM SIGMOD, pages 89-99, Tucson, Arizona, USA, 1997.
    • (1997) Proc. of ACM SIGMOD , pp. 89-99
    • Roussopoulos, N.1    Kotidis, Y.2    Roussopoulos, M.3
  • 11
    • 0036203284 scopus 로고    scopus 로고
    • Condensed cube: An effective approach to reducing data cube size
    • San Jose, California, USA
    • W. Wang, J. Feng, H. Lu and J. X. Yu. Condensed Cube: An Effective Approach to Reducing Data Cube Size. In Proc. of ICDE, pages 155-165, San Jose, California, USA, 2002.
    • (2002) Proc. of ICDE , pp. 155-165
    • Wang, W.1    Feng, J.2    Lu, H.3    Yu, J.X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.