Modelling the relationship between problem characteristics and data mining algorithm performance using neural networks

Kate Amanda Smith, Frederick Woo, Vic Ciesielski, Remzi Ibrahim

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

    Original languageEnglish
    Title of host publicationIntelligent Engineering Systems Through Artificial Neural Networks. Volume II - Smart Engineering System Design
    EditorsCihan H Dagli, Anna L Buczak, Joydeep Ghosh, Mark J Embrechts, Okan Ersoy, Stephen Kercel
    Place of PublicationNew York NY USA
    PublisherAmerican Society of Mechanical Engineers (ASME)
    Pages357 - 362
    Number of pages6
    Edition1
    ISBN (Print)0791801764
    Publication statusPublished - 2001

    Cite this

    Smith, K. A., Woo, F., Ciesielski, V., & Ibrahim, R. (2001). Modelling the relationship between problem characteristics and data mining algorithm performance using neural networks. In C. H. Dagli, A. L. Buczak, J. Ghosh, M. J. Embrechts, O. Ersoy, & S. Kercel (Eds.), Intelligent Engineering Systems Through Artificial Neural Networks. Volume II - Smart Engineering System Design (1 ed., pp. 357 - 362). American Society of Mechanical Engineers (ASME).