Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1568234.1568266 | ICAIL |
Keywords | Field | DocType |
genetic-based mining algorithm,national ombudsman,genetic-based data mining algorithm,conventional database technique,domain expert,complaint database,interesting result,government organization,datamining,data mining,trend analysis | Data science,Data mining,Trend analysis,Computer science,Complaint,Data mining algorithm,Database,Government | Conference |
Citations | PageRank | References |
1 | 0.38 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan van Dijk | 1 | 352 | 27.66 |
| Sunil Choenni | 2 | 309 | 111.82 |
| Frans Leeuw | 3 | 18 | 1.82 |