Peter A. Flach, Hendrik Blockeel, Thomas Gärtner, Marko Grobelnik, Branko Kavšek, Martin Kejkula, Darek Krzywania, Nada Lavrač, Peter Ljubič, Dunja Mladenić, Steve Moyle, Stefan Raeymaekers, Jan Rauch, Simon Rawles, Rita Ribeiro, Gert Sclep, Jan Struyf, Ljupčo Todorovski, Luis Torgo, Dietrich Wettschereck and Shaomin Wu (吴少敏). In Dunja Mladenić, Nada Lavrač, Marko Bohanec and Steve Moyle, editors, Data Mining and Decision Support: Integration and Collaboration. On the road to knowledge: mining 21 years of UK traffic accident reports, chapter 11, pages 143–155. Kluwer Academic Publishers, January 2003.
In this chapter we describe our experience with mining a large multi-relational database of traffic accident reports. We applied a range of data mining techniques to this dataset, including text mining, clustering of time series, subgroup discovery, multi-relational data mining, and association rule learning. We also describe a collaborative data mining challenge on part of the dataset.