• A case of using formal concept analysis in combination with emergent self organizing maps for detecting domestic violence

      Poelmans, Jonas; Elzinga, Paul; Viaene, Stijn; Dedene, Guido (+) (Lecture notes in Computer Science, 2009)
      This paper examines incremental financing decisions within high-growth businesses. A large longitudinal dataset, free of survivorship bias, to cover financing events of high-growth businesses for up to 8 years is analyzed. The empirical evidence shows that profitable businesses prefer to finance investments with retained earnings, even if they have unused debt capacity. External equity is particularly important for unprofitable businesses with high debt levels, limited cash flows, high risk of failure or significant investments in intangible assets. These findings are consistent with the extended pecking order theory controlling for constraints imposed by debt capacity. It suggests that new equity issues are particularly important to allow high-growth businesses to grow beyond their debt capacity.
    • A concept discovery approach for fighting human trafficking and forced prostitution.

      Poelmans, Jonas; Elzinga, Paul; Viaene, Stijn; Dedene, Guido (+); Kuznetsov, Sergei O. (Lecture notes in Computer Science, 2011)
    • An exploration into the power of Formal Concept Analysis for domestic violence analysis

      Poelmans, Jonas; Elzinga, Paul; Viaene, Stijn; Dedene, Guido (+) (Lecture notes in Computer Science, 2008)
    • Analyzing domestic violence with topographic maps: a comparative study

      Poelmans, Jonas; Elzinga, Paul; Viaene, Stijn; Dedene, Guido (+); Van Hulle, Marc (Lecture notes in Computer Science, 2009)
    • Curbing domestic violence: instantiating C-K theory with formal concept analysis and emergent self-organizing maps. Intelligent Systems in Accounting, Finance & Management

      Poelmans, Jonas; Elzinga, Paul; Viaene, Stijn; Dedene, Guido (+) (Intelligent systems in accounting, finance and management, 2010)
      We propose a human-centred process for knowledge discovery from unstructured text that makes use of formal concept analysis and emergent self-organizing maps. The knowledge discovery process is conceptualized and interpreted as successive iterations through the concept-knowledge (C-K) theory design square. To illustrate its effectiveness, we report on a real-life case study of using the process at the Amsterdam-Amstelland police in the Netherlands aimed at distilling concepts to identify domestic violence from the unstructured text in actual police reports. The case study allows us to show how the process was not only able to uncover the nature of a phenomenon such as domestic violence, but also enabled analysts to identify many types of anomaly in the practice of policing. We will illustrate how the insights obtained from this exercise resulted in major improvements in the management of domestic violence cases.
    • Formal concept analysis in knowledge discovery: a survey

      Poelmans, Jonas; Elzinga, Paul; Viaene, Stijn; Dedene, Guido (+) (Lecture notes in Computer Science, 2010)
    • Formally analyzing the concepts of domestic violence

      Poelmans, Jonas; Elzinga, Paul; Viaene, Stijn; Dedene, Guido (+) (Expert Systems with Applications, 2011)
    • Gaining insight in domestic violence with Emergent Self Organizing Maps

      Poelmans, Jonas; Elzinga, Paul; Viaene, Stijn; Van Hulle, Marc; Dedene, Guido (+) (Expert Systems with Applications, 2009)
      Topographic maps are an appealing exploratory instrument for discovering new knowledge from databases. During the past years, new types of Self Organizing Maps (SOM) were introduced in the literature, including the recent Emergent SOM. The ESOM tool is used here to analyze a large set of police reports describing a wide range of violent incidents that occurred during the year 2007 in the Amsterdam-Amstelland police region (the Netherlands). This article aims to demonstrate that the ESOM tool provides a valuable exploratory instrument for examining unstructured text in police reports. First, it is shown how ESOM was used to discover a range of new features that better distinguish domestic from non-domestic violence cases. Second, it is demonstrated how this resulted in a significant improvement in classification accuracy. Third, the ESOM tool facilitates an in-depth investigation of the nature and scope of domestic violence, which is particularly useful for the domain expert. Interestingly, it was discovered that the definition of domestic violence employed by the management was much broader than the definition employed by police officers. Fourth, the ESOM tool enables an accurate and automated assignment of either a domestic or a non-domestic violence label to unclassified cases. Finally, ESOM is a highly accurate and comprehensible case triage model for detecting and retrieving wrongly classified cases.
    • Nieuwe kennis uit ongestructureerde tekst

      Elzinga, Paul; Poelmans, Jonas; Viaene, Stijn; Dededene, Guido (Informatie, 2012)
      De Katholieke Universiteit Leuven en de Regiopolitie Amsterdam-Amstelland hebben nieuwe analysemethoden ontwikkeld voor ongestructureerde tekst. Het voornaamste doel is de ontwikkeling van een efficiënte en operationeel inzetbare methode om bruikbare kennis te onttrekken aan de grote hoeveelheid ongestructureerde informatie in de politiedatabases en die toe te passen om potentiële daders en slachtoffers beter en sneller te herkennen.
    • Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence.

      Poelmans, Jonas; Van Hulle, Marc; Viaene, Stijn; Elzinga, Paul; Dedene, Guido (+) (Applied Soft Computing, 2011)
      This paper shows how collective worker participation and leadership style influence the emergence of operational improvements during the design process of a time-driven activity-based costing (ABC) system in a case study setting. In particular, in the case company, the costing project was initiated at different warehouses, which allowed us to distinguish two types of design processes. With the first type, the participation of all organizational members, especially at the lowest levels, fostered dialogue about the input parameters of the costing model. In addition, when these discussions about costing data were held in groups guided by a superior with a considerate, people-oriented leadership style, operational improvements appeared. With the second type, operational employees were not involved in the design process, they feared the new costing system, because it was used to enforce compliance, and no operational improvements emerged. Hence, the case findings suggest that, for operational improvements to appear during the design process of a time-driven ABC system, collective worker participation and appropriate leadership styles are indispensable.