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Geographic Decision Making in Urban Management - A SOLAP Tool for the Analysis and the Management of Public Lighting in the City of Oran

Authors:
Ahmed Saidi
Mohamed Fayçal Khelfi
Abdellah Mebrek
Abdelhak Trache

Keywords: Data Warehouse; Data mining; SOLAP; GIS

Abstract:
Approaches to business intelligence provide data mining techniques offering a new vision in multidimensional information analysis. This is particularly true when it comes to information with spatial reference. The procedures leading to the creation of Data Warehouses (DW) are inefficient when it comes to integrating the spatial dimension. Indeed, deriving a Spatial Data Warehouse (SDW) suggests the use of methods able to process complex geographical information, taking several aspects into account. If the archive character of the data is relatively easy to identify for each aspect, it is not obvious to detect this criterion in a global view of the geographic entity. We present in this paper an experiment showing a Geo-Decisional methodology of SDW construction, integrated in the functionalities of a Geographic Information System (GIS), to have a general procedure providing an information database and the specific tools to initiate spatial Data mining operations. An experimentation of this methodology to manage public lighting in the city of Oran is presented.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-617-0

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018