slugOnline Analytical Processing System Providing spatial information to the data warehouse by using Geographical Cube Methodology

Abstract

Spatial data mining refers to the extraction of knowledge, spatial relationships, or other interesting patterns not explicitly stored in spatial databases. A spatial database stores a large amount of space-related. They carry topological and/or distance information, usually organized by sophisticated, multidimensional spatial indexing structures that are accessed by spatial data access methods and often require spatial reasoning, geometric computation, and spatial knowledge representation techniques. The main objective of this paper is to deal with the categorical and non categorical attributes by providing spatial and standard online analytical processing systems to the data warehouse. The major issues we are discussing in this paper is, spatial or continuous values and representing and updating by applying efficient query processing with indexing. Finally we present Geographical Cube storage and indexing procedure to aggregate the spatial information/Continuous values with significant performance.

Authors and Affiliations

A. V. S. M AdiSeshu, B Kumara Swamy, Errolla Venkataiah

Keywords

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  • EP ID EP17969
  • DOI -
  • Views 361
  • Downloads 10

How To Cite

A. V. S. M AdiSeshu, B Kumara Swamy, Errolla Venkataiah (2014). slugOnline Analytical Processing System Providing spatial information to the data warehouse by using Geographical Cube Methodology. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(4), -. https://www.europub.co.uk/articles/-A-17969