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

Peter Flach, Todorovski L., Torgo L., Blockeel H., Wettschereck D., Wu S., Gartner T., Grobelnik M., Kavsek B., Kejkula M., Krzywania D., Mladenic D., Lavrac N., Ljubic P., Moyle S., Raeymaekers S., Rauch J., Rawles S., Ribeiro R., Sclep G.Struyf J.

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

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.
Translated title of the contributionOn the road to knowledge: mining 21 years of UK traffic accident reports
Original languageEnglish
Title of host publicationData Mining and Decision Support: Aspects of Integration and Collaboration
PublisherKluwer Academic Publishers
ISBN (Print)1402073887
Publication statusPublished - 2003

Bibliographical note

Other page information: 143-155
Other identifier: 1000702

Fingerprint

Dive into the research topics of 'On the road to knowledge: mining 21 years of UK traffic accident reports'. Together they form a unique fingerprint.

Cite this