Analyzing a complaint database by means of a genetic-based data mining algorithm

ABSTRACT

In this paper, we have analyzed the complaint database of the National Ombudsman who handles complaints with regard to almost all government organizations in the Netherlands. We searched for trends with regard to complaints and handling of complaints during a period of 25 years. For this purpose, we have applied a combination of conventional database techniques and a genetic-based mining algorithm. Our experience is that such a combination and the guidance by domain experts are necessary to produce useful and interesting results.

REFERENCES

• 1: Sunil Choenni, Design and Implementation of a Genetic-Based Algorithm for Data Mining, Proceedings of the 26th International Conference on Very Large Data Bases, p.33-42, September 10-14, 2000
• 2: Dijk, J. J. van, R. S. Choenni, and F. L. Leeuw. 2009. Analyzing a Complaint Database by Means of a Genetic-Based Data Mining Algorithm. WODC Memorandum 2009-3. The Hague, The Netherlands.
• 3: Jacobs, W. 1994. Complainants at the National Ombudsman: one-shotters and repeat-players. Gouda Quint bv, The Netherlands
• 4: Nationale ombudsman. Werken aan behoorlijkheid. 2007. Boom Juridische uitgevers, The Hague, The Netherlands We note that references ending with a star (*) are in Dutch.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.1 Applications and Expert Systems
          Subjects: Law

General Terms:
Algorithms, Design, Experimentation

Keywords:
data mining, genetic-based algorithm, trend analysis