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On the road to knowledge: mining 21 years of UK traffic accident reports

P.A. Flach, L. Todorovski, L. Torgo, H. Blockeel, D. Wettschereck, S. Wu, T. Gartner, M. Grobelnik, B. Kavsek, M. Kejkula, D. Krzywania, D. Mladenic, N. Lavrac, P. Ljubic, S. Moyle, S. Raeymaekers, J. Rauch, S. Rawles, R. Ribeiro, G. Sclep, J. Struyf, On the road to knowledge: mining 21 years of UK traffic accident reports. Chapter in Data Mining and Decision Support: Aspects of Integration and Collaboration. ISBN 1-4020-7388-7, pp. 143–155. January 2003. No electronic version available. External information

Abstract

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.

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