An Exploration into the Power of Formal Concept Analysis for Domestic Violence Analysis

The types of police inquiries performed are very diverse in nature and the current data processing architecture is not sufficiently tailored to cope with this diversity. Many information concerning cases is still stored in databases as unstructured text. Formal Concept Analysis is showcased as an exploratory data analysis technique for discovering new knowledge from police reports. It turns out that it provides a powerful framework for exploring the dataset, resulting in essential knowledge for improving current practices. It is shown that the domestic violence definition employed by the police organisation of the Netherlands is not always as clear as it should be, making it hard to use it effectively for classification purposes. In addition, newly discovered knowledge for automatically classifying certain cases as either domestic or non-domestic violence is presented. Moreover, essential techniques for detecting incorrect classifications, performed by police officers, are provided. Finally, some problems encountered because of the sometimes unstructured way of working of police officers are discussed. Both using Formal Concept Analysis for exploratory data analysis and its application on this area are novel enough to make this paper into a valuable contribution to the literature.

[1]  Charlotte Watts,et al.  Violence against women: global scope and magnitude , 2002, The Lancet.

[2]  Gerd Stumme,et al.  Efficient Data Mining Based on Formal Concept Analysis , 2002, DEXA.

[3]  Uta Priss A Graphical Interface for Document Retrieval Based on Formal Concept Analysis , 2002 .

[4]  Gerd Stumme,et al.  Formal Concept Analysis on Its Way from Mathematics to Computer Science , 2002, ICCS.

[5]  Wenfei Fan,et al.  Keys with Upward Wildcards for XML , 2001, DEXA.

[6]  Rudolf Wille,et al.  Why can concept lattices support knowledge discovery in databases? , 2002, J. Exp. Theor. Artif. Intell..

[7]  Uta Priss,et al.  Lattice-based information retrieval , 2000 .

[8]  Bernhard Ganter,et al.  Formal Concept Analysis: Mathematical Foundations , 1998 .

[9]  Rudolf Wille,et al.  Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts , 2009, ICFCA.

[10]  Uta Priss,et al.  Formal concept analysis in information science , 2006, Annu. Rev. Inf. Sci. Technol..

[11]  Peter W. Eklund,et al.  Concept Lattices for Information Visualization: Can Novices Read Line-Diagrams? , 2004, ICFCA.

[12]  Nina Stratford,et al.  Domestic Violence: Findings from a new British Crime Survey self-completion questionnaire , 1998 .

[13]  Peter W. Eklund,et al.  Browsing Semi-structured Web Texts Using Formal Concept Analysis , 2001, ICCS.

[14]  Gerd Stumme,et al.  Conceptual Structures: Broadening the Base , 2001, Lecture Notes in Computer Science.

[15]  Ernest N. Jouriles,et al.  Domestic violence : guidelines for research-informed practice , 2000 .

[16]  Robert Godin,et al.  Design of a browsing interface for information retrieval , 1989, SIGIR '89.

[17]  Gerd Stumme,et al.  Conceptual Knowledge Discovery in Databases Using Formal Concept Analysis Methods , 1998, PKDD.

[18]  Jan Komorowski,et al.  Principles of Data Mining and Knowledge Discovery , 2001, Lecture Notes in Computer Science.

[19]  Claudio Carpineto,et al.  Using Concept Lattices for Text Retrieval and Mining , 2005, Formal Concept Analysis.