Authors
Peter Flach,
Hendrik Blockeel,
Thomas Gärtner,
Branko Kavšek,
Branko Kavšek,
Publication date
2003
Publisher
Springer US
Total citations
Description
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.