Multiple regression analysis in crime pattern warehouse for decision support

Dale Dzemydiene, Vitalija Rudzkiene

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)

    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 social economic and crime indicators. The proposed multiple regression models allows gaining new insights into the structure of problem and developing strategies for crime prevention measures.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    PublisherSpringer Verlag
    Pages249-258
    Number of pages10
    Volume2453
    ISBN (Print)3540441263, 9783540441267
    Publication statusPublished - 2002
    Event13th International Conference on Database and Expert Systems Applications, DEXA 2002 - Aix-en-Provence, France
    Duration: Sep 2 2002Sep 6 2002

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2453
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other13th International Conference on Database and Expert Systems Applications, DEXA 2002
    CountryFrance
    CityAix-en-Provence
    Period9/2/029/6/02

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    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Dzemydiene, D., & Rudzkiene, V. (2002). Multiple regression analysis in crime pattern warehouse for decision support. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2453, pp. 249-258). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2453). Springer Verlag.