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International Conference on Intelligent Systems Design and Applications

ISDA 2018 2018: Intelligent Systems Design and Applications pp 803–812Cite as

Crime Information Improvement for Situation Awareness Based on Data Mining

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

Abstract

Crime records hold critical information about crime situations including the offender actions, stolen objects description, characteristics of victims, the location of the crime situation, individuals involved and more. To consume crime data, police forces and other security analysts use risk management systems which process and organize data, and summarize it into relevant and useful information on criminal situations. This type of system depends on promoting Situation Awareness to stimulate the users understanding of the crime situations and consequently the decision-making assertiveness. In this work the goal is to contribute with the typification of crime situations by machine learning driven techniques, applied in conjunction with pre-processing and transformation. Results showed that the use of pre-processing techniques improved data quality and algorithms precision. In addition, the transformation technique with the best results found was Bag of Words Binarization. Finally, the Logistic Regression algorithm presented the best results for mining the crime data.

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Author information

Authors and Affiliations

  1. Computer Networks Lab, State University of Campinas, Cidade Universitária, Campinas, SP, Brazil

    Lucas Zanco Ladeira

  2. Human-Computer Interaction Group, University Centre Euripides of Marília, 529 Hygino Muzzi Filho Avenue, Marília, SP, Brazil

    Lucas Zanco Ladeira, Valdir Amancio Pereira Junior, Raphael Zanon Rodrigues & Leonardo Castro Botega

  3. Information Science Graduate Program, São Paulo State University, 737 Hygino Muzzi Filho Avenue, Marília, SP, Brazil

    Valdir Amancio Pereira Junior & Leonardo Castro Botega

Authors
  1. Lucas Zanco Ladeira
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  2. Valdir Amancio Pereira Junior
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  3. Raphael Zanon Rodrigues
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  4. Leonardo Castro Botega
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Corresponding author

Correspondence to Lucas Zanco Ladeira .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Cite this paper

Ladeira, L.Z., Junior, V.A.P., Rodrigues, R.Z., Botega, L.C. (2020). Crime Information Improvement for Situation Awareness Based on Data Mining. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_75

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