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

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