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Detecting Anomalies in Time-Varying Media Crime News Using Tensor Decomposition

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Book cover Information Management and Big Data (SIMBig 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1070))

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Abstract

Nowadays, the mass media surround us in many forms. Newspapers, radio and TV reports about many topics, including the crime committed in a region. Indirectly, the media provide statistics about crime incidents, and policymakers could focus their attention on the unusual number of crime news (c.f., regular events) for evaluating and proposing new public policies. In the present work, the Tensor decomposition is used to detect an unusual amount of crime news. To achieve this goal, two rejection criterion techniques were compared. Also, several image binarization techniques were used to validate our proposal. Our result can be used to detect an unusual amount of crime news as a proxy of unusual crime activity.

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Notes

  1. 1.

    http://www.unodc.org/.

  2. 2.

    www.numbeo.com.

  3. 3.

    iMedia framework: http://www.iMedia.pe/monitoreo-medios-tradicionales.

  4. 4.

    https://github.com/autoritas/RD-Lab/tree/master/resources/Afffectivity/.

  5. 5.

    Web site ENAPRES: https://webinei.inei.gob.pe/anda_inei/index.php/catalog/614/vargrp/VG114.

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Authors and Affiliations

  1. Universidad del Pacífico, Av. Salaverry 2020, Lima, Peru

    Hugo Alatrista-Salas, Pablo Lavado, Juandiego Morzan, Miguel Nuñez-del-Prado & Gustavo Yamada

Authors
  1. Hugo Alatrista-Salas
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  2. Pablo Lavado
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  3. Juandiego Morzan
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  4. Miguel Nuñez-del-Prado
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  5. Gustavo Yamada
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Corresponding author

Correspondence to Hugo Alatrista-Salas .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Juan Antonio Lossio-Ventura

  2. University of A Coruña, A Coruña, Spain

    Nelly Condori-Fernandez

  3. Visibilia, São Paulo, Brazil

    Jorge Carlos Valverde-Rebaza

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Alatrista-Salas, H., Lavado, P., Morzan, J., Nuñez-del-Prado, M., Yamada, G. (2020). Detecting Anomalies in Time-Varying Media Crime News Using Tensor Decomposition. In: Lossio-Ventura, J.A., Condori-Fernandez, N., Valverde-Rebaza, J.C. (eds) Information Management and Big Data. SIMBig 2019. Communications in Computer and Information Science, vol 1070. Springer, Cham. https://doi.org/10.1007/978-3-030-46140-9_4

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  • DOI: https://doi.org/10.1007/978-3-030-46140-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46139-3

  • Online ISBN: 978-3-030-46140-9

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