BIROn - Birkbeck Institutional Research Online

    A hybrid cluster-lift method for the analysis of research activities

    Mirkin, Boris and Nascimento, S. and Fenner, Trevor and Pereira, L.M. (2010) A hybrid cluster-lift method for the analysis of research activities. In: Romay, M. and GranaSebastian, M. and Garcia, T. (eds.) Hybrid Artificial Intelligence Systems. Lecture Notes in Artificial Intelligence 1 6076. Berlin, Germany: Springer Verlag, pp. 152-161. ISBN 9783642137693.

    Full text not available from this repository.

    Abstract

    A hybrid of two novel methods - additive fuzzy spectral clustering and lifting method over a taxonomy - is applied to analyse the research activities of a department. To be specific, we concentrate on the Computer Sciences area represented by the ACM Computing Classification System (ACM-CCS), but the approach is applicable also to other taxonomies. Clusters of the taxonomy subjects are extracted using an original additive spectral clustering method involving a number of model-based stopping conditions. The clusters are parsimoniously lifted then to higher ranks of the taxonomy by minimizing the count of “head subjects” along with their “gaps” and “offshoots”. An example is given illustrating the method applied to real-world data.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Structural Molecular Biology, Institute of (ISMB)
    Depositing User: Sarah Hall
    Date Deposited: 16 May 2013 15:56
    Last Modified: 06 Dec 2016 10:33
    URI: http://eprints.bbk.ac.uk/id/eprint/6812

    Statistics

    Downloads
    Activity Overview
    0Downloads
    129Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item