期刊文献+

动态数据立方的范围查询

Range Queries Technology on Data Cubes
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摘要 根据 data cube层次性的特点和查询习惯提出了新的分块计算方法 ,并在此基础上提出了改进算法 .这种方法节约了存储空间 ,在 L BD粒度及其上的查询效率为 O(1 ) ,同时数据的更新时间大约为 O() ,还节约了大量的存储空间 ,并且使得数据立方具有了一定的结构独立性 ,能有效的减少重新构造数据立方 (reprocess)的次数 。 In the paper, the author reviews R. Agrawal and other scholars' research in this respect, introduces their algorithms & presents new two algorithms to divide blocks according to the characteristic of range order of data cube & query custom.The new algorithm presented in the paper is characterized with such strong points as saving space, increasing efficiency in the circumstance of large granularity & processing structural independence which efficiently reduces the time of reprocess.
出处 《小型微型计算机系统》 CSCD 北大核心 2003年第11期2020-2023,共4页 Journal of Chinese Computer Systems
关键词 范围查询(range query) 联机分析处理 数据立方 数据独立性 range query data cube structural independence OLAP
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参考文献6

  • 1Ho C, Bruck J, Agrawal R. Partial-sum queries in OLAP Data Cubes using covering codes[J]. IEEE Trans Comput. 1998. 47(12) :1326-1340.
  • 2Ho C, Bruck J, Agrawal R. Partial-sum queries in OLAP data cubes using covering codes [J]. IEEE Trans Comput, 1998, 47(12): 1326- 1340.
  • 3Liang Wei-fa, Wang Hui,Maria E. Orlowska range queries in dynamic OLAP data cubes [J]. Elsever, Data & Knowledge Engineering, 2000,34 : 21 - 38.
  • 4Sunita Sarawagi, Rakesh Agrawal, Nimrod Megiddo. Discoverydriven exploration of OLAP data cubes[R]. Research Report. 1998.
  • 5Geffner S. Agrawal D, El Abbadi A, Smith T. Relative pre. xsums: an efficient approach for querying dynamic OLAP DataCubes [C]. Ina Proceedings of the Intenational Conference on Data Engineering, Sydney, Australia. 1999. 328-335.
  • 6Ho C, Agrawal R, Megiddo N, Srikant R. Range queries in OLAP Data Cubes[C]. In: Proceedings of the 1997 ACM SIG-MOD Conference, 1997, 73-88.

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