DETECTING DOMESTIC VIOLENCE - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps

Paul Elzinga, Jonas Poelmans, Stijn Viaene, Guido Dedene

Abstract

Over 90% of the case data from police inquiries is stored as unstructured text in police databases. We use the combination of Formal Concept Analysis and Emergent Self Organizing Maps for exploring a dataset of unstructured police reports out of the Amsterdam-Amstelland police region in the Netherlands. In this paper, we specifically aim at making the reader familiar with how we used these two tools for browsing the dataset and how we discovered useful patterns for labelling cases as domestic or as non-domestic violence.

References

  1. Brachman, R., Anand, T., 1996. The process of knowledge discovery in databases: a human-centered approach. In advances in knowledge discovery and data mining, ed. U. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy. AAAI/MIT Press.
  2. Chen, H., Chung, W., Xu, J.J., Wang, G., Qin, Y., Chau, M., 2004. Crime data mining: a general frame-work and some examples. IEEE Computer, April 2004.ijk, T van, 1997. Huiselijk geweld, aard, omvang en hulpverlening. Ministerie van Justitie, Dienst Preventie, Jeugd-bescherming en Reclassering.
  3. Fan, W., Wallace, L., Rich, S., Thang, T., 2006. Tapping the power of text mining. Communications of the ACM, Vol. 49, no. 9.
  4. Fayyad, U., Uthurusamy, R., 2002. Evolving data mining into solutions for insights. Communications of the ACM, Vol. 45, no. 8.
  5. Kodratoff, Y., 1994. The comprehensibility manifesto. KDD nuggets (94:9).
  6. Marchionini, G., 2006. Exploratory search: from finding to understanding. Communications of the ACM, Vol. 49, no. 4.
  7. Martens, D., Baesens, B., Van Gestel, T., Vanthienen, J., 2007. Comprehensible credit scoring models using rule extraction from support vector machines. European journal of operational research, 183(3), 1466-1476.
  8. Poelmans, J, Elzinga P, Viaene S., Dedene G, 2008. An exploration into the power of Formal Concept Analysis for domestic violence analysis. 8th Industrial Conference, ICDM 2008 Leipzig, Germany, Juli 2008 Proceedings, LNAI 5077 Springer Heidelberg, pp. 404-416.
  9. Pednault, E.P.D. 2000, Representation is everything. Communications of the ACM, Vol. 43, no. 8.
  10. Smyth, P., Pregibon, D., Faloutsos, C., 2002. Data-driven evolution of data mining algorithms. Communications of the ACM, Vol. 45, no. 8.
  11. Stumme, G., 2002. Formal Concept Analysis on its Way from Mathematics to Computer Science. Proc. 10th Intl. Conf. on Conceptual Structures (ICCS 2002). LNCS, Springer, Heidelberg 2002.
  12. Ultsch, A., 1999. Data mining and knowledge discovery with Emergent SOFMS for multivariate Time Series. Kohonen Maps, pp. 33-46.
  13. Ultsch, A., 2003. Maps for visualization of highdimensional Data Spaces. In proc. WSOM'03, Kyushu, Japan, pp. 225-230.
  14. Ultsch, A., Moerchen, F., 2005. ESOM-Maps: Tools for clustering, visualization, and classification with Emergent SOM. Technical Report Dept. of Mathematics and Computer Science, University of Marburg, Germany, No. 46.
  15. Yevtushenko, S.A., 2000. System of data analysis “Concept Explorer.” Proceedings of the 7th national conference or Artificial Intelligence. KII-2000. 127- 134, Russia.
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Paper Citation


in Harvard Style

Elzinga P., Poelmans J., Viaene S. and Dedene G. (2009). DETECTING DOMESTIC VIOLENCE - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 11-18. DOI: 10.5220/0001844400110018


in Bibtex Style

@conference{iceis09,
author={Paul Elzinga and Jonas Poelmans and Stijn Viaene and Guido Dedene},
title={DETECTING DOMESTIC VIOLENCE - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={11-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001844400110018},
isbn={978-989-8111-85-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - DETECTING DOMESTIC VIOLENCE - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps
SN - 978-989-8111-85-2
AU - Elzinga P.
AU - Poelmans J.
AU - Viaene S.
AU - Dedene G.
PY - 2009
SP - 11
EP - 18
DO - 10.5220/0001844400110018