Formally analysing the concepts of domestic violence
Autor: | Paul Elzinga, Stijn Viaene, Guido Dedene, Jonas Poelmans |
---|---|
Přispěvatelé: | Information management (ABS, FEB) |
Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Concept discovery
Text mining Computer science media_common.quotation_subject Poison control Knowledge discovery in databases Computer security computer.software_genre Suicide prevention Occupational safety and health Domestic violence Exploratory data analysis Knowledge extraction Artificial Intelligence Formal concept analysis Added value media_common General Engineering Knowledge enrichment Data science Computer Science Applications Formal concept analysis (FCA) computer Diversity (politics) |
Zdroj: | Expert Systems With Applications, 38(4), 3116-3130. Pergamon |
ISSN: | 0957-4174 3116-3130 |
DOI: | 10.1016/j.eswa.2010.08.103 |
Popis: | The types of police inquiries performed these days are incredibly diverse. Often data processing architectures are not suited to cope with this diversity since most of the case data is still stored as unstructured text. In this paper Formal Concept Analysis (FCA) is showcased for its exploratory data analysis capabilities in discovering domestic violence intelligence from a dataset of unstructured police reports filed with the regional police Amsterdam-Amstelland in the Netherlands. From this data analysis it is shown that FCA can be a powerful instrument to operationally improve policing practice. For one, it is shown that the definition of domestic violence employed by the police is not always as clear as it should be, making it hard to use it effectively for classification purposes. In addition, this paper presents newly discovered knowledge for automatically classifying certain cases as either domestic or non-domestic violence is. Moreover, it provides practical advice for detecting incorrect classifications performed by police officers. A final aspect to be discussed is the problems encountered because of the sometimes unstructured way of working of police officers. The added value of this paper resides in both using FCA for exploratory data analysis, as well as with the application of FCA for the detection of domestic violence. ispartof: Expert Systems with Applications vol:38 issue:4 pages:3116-3130 status: published |
Databáze: | OpenAIRE |
Externí odkaz: |