Name
Title | ||
|---|---|---|
An Exploration into the Power of Formal Concept Analysis for Domestic Violence Analysis |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-70720-2_31 | ICDM |
Keywords | Field | DocType |
exploratory data analysis,police report,domestic violence analysis,police officer,police organisation,formal concept analysis,new knowledge,exploratory data analysis technique,essential knowledge,current data,police inquiry,data processing,data mining,domestic violence | Data science,Data mining,Data processing,Architecture,Computer science,Knowledge management,Exploratory data analysis,Formal concept analysis,Domestic violence | Conference |
Volume | ISSN | Citations |
5077 | 0302-9743 | 6 |
PageRank | References | Authors |
0.61 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonas Poelmans | 1 | 277 | 19.28 |
| Paul Elzinga | 2 | 122 | 9.14 |
| Stijn Viaene | 3 | 722 | 60.17 |
| Guido Dedene | 4 | 925 | 83.39 |