期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2013
卷号：3
期号：4
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Spatial Online Analytical Processing System involves the non-categorical attribute information also whereas standard online analytical processing system deals with only categorical attributes. Providing spatial information to the d ata warehouse (DW); two major challenges faced are; 1.Defining and Aggregation of Spatial or Continues values and 2.Representation, indexing, updating and efficient query processing. In this paper, we present G CUBE (Geographical Cube) storage and indexing procedure to aggregate the spatial information/Continuous values. We employed the proposed approach storing and indexing using synthetic and real data sets and evaluated its build, update and Query time. It is observed that the proposed procedure offers significant performance advantage
