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大型压缩数据仓库上的Iceberg Cube算法 被引量:3

An Iceberg Cube Algorithm for Large Compressed Data Warehouses
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摘要 IcebergCube操作是OLAP(on-lineanalysisprocessing)分析中的一种重要操作.数据压缩技术在有效减小数据仓库所需的数据空间和提高数据处理性能方面的作用越来越明显.在压缩的数据仓库上,如何快速、有效地计算IcebergCube是目前亟待解决的问题.简要介绍了数据仓库的压缩,然后给出了在压缩数据仓库中计算IcebergCube的算法.实验结果表明,该算法的性能优于先在压缩数据上计算Cube再检查having条件这种方法. Iceberg Cube is meaningful for OLAP (on-line analysis processing) and compression techniques play more and more important role in reducing the storage of data warehouse and improving the efficiency of data operations. It is really a problem to compute Iceberg Cube efficiently in the compressed data warehouse. The compression techniques of data warehouse are introduced concisely in this paper, and an algorithm to compute Iceberg Cube in compressed data warehouse by mapping-complete methods is proposed. Experimental results show that this algorithm outperforms the direct method that selects Iceberg Cube tuples from the complete computed cube.
出处 《软件学报》 EI CSCD 北大核心 2006年第8期1743-1752,共10页 Journal of Software
基金 国家自然科学基金 国家高技术研究发展计划(863) 国家重点基础研究发展规划(973) 黑龙江省自然科学基金~~
关键词 ICEBERG CUBE 压缩数据仓库 数据立方体 自底向上计算 Iceberg Cube compressed data warehouse data cube bottom-up computation
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  • 1J Gray, A Bosworth, A Layman, et al. Data cube: A relational aggregation operator generalizing group-by, cross-tab, and subtotal. In: Proc of the 12th Int'l Conf on Data Engineering (ICDE'96). Los Alamitos, CA: IEEE Computer Society Press,1996. 152~ 159 被引量:1
  • 2S Agarwal, R Agrawal, P Deshpande, et al. On the computation of multidimensional aggregates. In: Proc of the 22nd Int'l Conf on Very Large Data Bases (VLDB'96). San Fransisco: Morgan Kaufmann, 1996. 506~521 被引量:1
  • 3Y Zhao, P Deshpande, J F Naughton. An array-based algorithm for simultaneous multidimensional aggregates. In: Proc of the 1997 ACM SIGMOD Int'l Conf on Management of Data (SIGMOD'97). New York: ACM Press, 1997. 159~170 被引量:1
  • 4V Harinarayan, A Rajaraman, J D Ullman. Implementing data cubes efficiently. In: Proc of the 1996 ACM SIGMOD Int'l Conf on Management of Data (SIGMOD'96). New York: ACM Press, 1996. 205~216 被引量:1
  • 5K S Beyer, R Ramakrishnan. Bottom-up computation of sparse and iceberg cubes. In: Proc of the 1999 ACM SIGMOD Int'l Conf on Management of Data (SIGMOD'99). New York: ACM Press, 1999. 359~370 被引量:1
  • 6K A Ross, D Srivastava. Fast computation of sparse datacubes.In: Proc of the 23rd Int'l Conf on Very Large Data Bases (VLDB'97). San Fransisco: Morgan Kaufmann, 1997. 116~185 被引量:1
  • 7J Shanmugasundaram, U M Fayyad, P S Bradley. Compressed data cubes for OLAP aggregate query approximation on continuous dimensions. In: Proc of the 5th ACM SIGKDD Int'l Conf on Knowledge Discovery and Data Mining (SIGKDD' 99 ). New York: ACM Press, 1999. 223~232 被引量:1
  • 8D Barbar, M Sullivan. Quasi-cubes: Exploiting approximations in multidimensional databases. SIGMOD Record, 1997, 26 (3): 12~17 被引量:1
  • 9J S Vitter, M Wang, B R Iyer. Data cube approximation and histograms via wavelets. In: Proc of the 1998 ACM CIKM Int'l Conf on Information and Knowledge Management ( CIKM' 98 ).New York: ACM Press, 1998. 96~ 104 被引量:1
  • 10WWang, H Lu, J Feng, et al. Condensed Cube: An effective approach to reducing data cube size. In: Proc of the 18th Int'l Conf on Data Engineering (ICDE' 02). Los Alamitos, CA: IEEE Computer Society Prss, 2002. 155~165 被引量:1

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