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Multiple Regression Analysis in Crime Pattern Warehouse for Decision Support

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Database and Expert Systems Applications (DEXA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2453))

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Abstract

The application domain of crime investigation and prevention deals with incomplete information from a broad variety of data sources and a complex structure of interdependencies of rapidly changing situations. The paper describes an approach of integration of multiple statistical analyses for recognition of crime information patterns in data warehouse.With multiple statistical methods we develop a decision support system based on real data of warehouses of socialeconomic and crime indicators. The proposed multiple regression models allows gaining new insights into the structure of problem and developing strategies for crime prevention measures.

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References

  1. Duncan, J.W., Gross, A.C.: Statistics for the 21st century. Irwin. USA (1995)

    Google Scholar 

  2. Dzemydiene, D.: Consultative Information Systems in Law Domain. Information Technologies and Management 4(21) (2001) 38–42

    Google Scholar 

  3. Dzemydiene, D.: An Approach of Modelling Expertise in Environmental Pollution Evaluation System. In: Barsdinš, J., Caplinskas, A. (eds.): Databases and Information Systems. Kluwer Academic Publishers (2001) 209–220

    Google Scholar 

  4. Dzemydiene, D.: Temporal Information Management and Decision Support for Predictive Control of Environment Contamination Processes. In: Eder, J., Caplinskas, A. (eds.): Advances in Databases and Information Systems. Proc. of Fifth East-European Conference. Vilnius (2001) 158–172

    Google Scholar 

  5. Herden, O.: Parameterised Patterns for Conceptual Modelling of DataWarehouses. In: Proc. of the 4th IEEE International BalticWorkshop on Databases and Information systems. Technika. Vilnius (2000) 152–163

    Google Scholar 

  6. Hinrichs, H.: Statistical quality control of Warehouse Data. In: Barsdins, J., Caplinskas, A. (eds.): Databases and Information Systems. Kluwer Academic Publishers (2001) 69–84

    Google Scholar 

  7. Kovacich, G.L., Boni, W.: High-Technology-Crime Investigator’s Handbook:Working in the Global Information Environment. Butterworth-Heinemann (2000)

    Google Scholar 

  8. Maskeliunas, S.: Ontological Engineering: Common Approaches and Visualisation Capabilities. Informatica 1(11) (2000) 41–48

    Google Scholar 

  9. Parsaye, K.: Rotational Schemas: Multi-Focus Data Structures for data Mining. Information Discovery Inc. (1996)

    Google Scholar 

  10. Pree, W.: Design Patterns for Object-Oriented Software Development. AddisonWesley (1995)

    Google Scholar 

  11. Rudzkiene, V.: Mathematical Modelling of Criminality in Lithuania in a Context of the East European Countries. Liet. Matem. Rink., Vol. 41, Spec.No. Vilnius (2001) 548–551

    Google Scholar 

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Author information

Authors and Affiliations

  1. Law University of Lithuania, Ateities 20, LT-2057, Vilnius, Lithuania

    Dale Dzemydiene & Vitalija Rudzkiene

  2. Institute of Mathematics and Informatics, Akademijos 4, LT-2600, Vilnius, Lithuania

    Dale Dzemydiene

Authors
  1. Dale Dzemydiene
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  2. Vitalija Rudzkiene
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Editor information

Editors and Affiliations

  1. Université Paul Sabatier, IRIT, 118 route de Narbonne, 31062, Toulouse Cedex, France

    Abdelkader Hameurlain

  2. Département Informatique, Université Aix-Marseille II, IUT, 413 Avenue Gaston Berger, 13625, Aix-en-Provence Cedex 1, France

    Rosine Cicchetti

  3. Institute of Applied Computer Science, University of Linz, Altenbergerstr. 69, 4040, Linz, Austria

    Roland Traunmüller

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© 2002 Springer-Verlag Berlin Heidelberg

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Dzemydiene, D., Rudzkiene, V. (2002). Multiple Regression Analysis in Crime Pattern Warehouse for Decision Support. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_25

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  • DOI: https://doi.org/10.1007/3-540-46146-9_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44126-7

  • Online ISBN: 978-3-540-46146-3

  • eBook Packages: Springer Book Archive

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