Home // ICCGI 2015, The Tenth International Multi-Conference on Computing in the Global Information Technology // View article

Integrating Crime Data by the Use of Generic Data Models

Authors:
Dirk Frosch-Wilke
Lennard Scheffler

Keywords: Data Warehouse; Generic Data Modeling; Police Data, Data Model Pattern

Abstract:
Effective and efficient crime data analysis can facilitate police work and could increase success rates in crime fighting and crime prevention (e.g. predictive policing). Relevant crime data are usually stored in various heterogeneous systems within different police organizations and other federal agencies. For this reasons many crime fighting agencies are eager to build Data Warehouse Systems for integrating crime data and providing a single data source for crime data analy-sis and crime data mining. But these Data Warehouse pro-jects are often faced with data quality problems due to in-complete integration of relevant crime data. The reason for this is often the variety, variability, and granularity of crime data in different IT-systems and the inflexibility of the data models used in Data Warehouses to handle these complex data characteristics. In this paper we apply concepts of Ge-neric Data Modeling and Data Model Patterns in order to build data models for crime data which allows complete and consistent integration of crime data in Data Warehouses.

Pages: 76 to 82

Copyright: Copyright (c) IARIA, 2015

Publication date: October 11, 2015

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-432-9

Location: St. Julians, Malta

Dates: from October 11, 2015 to October 16, 2015