Browsing by Author "Cunningham, Sally Jo"

Now showing items 6-10 of 118

  • Applications of machine learning in information retrieval

    Cunningham, Sally Jo; Littin, James; Witten, Ian H. (Department of Computer Science, University of Waik, 1997-02)
    Information retrieval systems provide access to collections of thousands, or millions, of documents, from which, by providing an appropriate description, users can recover any one. Typically, users iteratively refine the ...
  • Applying machine learning to subject classification and subject description for information retrieval

    Cunningham, Sally Jo; Summers, Brent (University of Waikato, Department of Computer Science, 1995-06)
    This paper describes an experiment in applying standard supervised machine learning algorithms (C4.5 and Induct) to the problem of developing subject classification rules for documents. These algorithms are found to produce ...
  • Authorship patterns in information systems

    Cunningham, Sally Jo; Dillon, Stuart M. (1996-10)
    This paper examines the patterns of multiple authorship in five information systems journals. Specifically, we determine the distribution of the number of authors per paper in this field, the proportion of male and female ...
  • Bibliomania: what can we learn from the research literature?

    Cunningham, Sally Jo; Empson, Nic; Kamau, Rawinia (University of Waikato, Department of Computer Science, 1995-04)
    The field of bibliometrics provides a set of quantitative methods for understanding how scientific information is created and disseminated by examining the structure, rather than the content, of subject documents. Bibliographic ...
  • Book selection behavior in the physical library: implications for ebook collections

    Hinze, Annika; McKay, Dana; Vanderschantz, Nicholas; Timpany, Claire; Cunningham, Sally Jo (ACM, 2012)
    Little is known about how readers select books, whether they be print books or ebooks. In this paper we present a study of how people select physical books from academic library shelves. We use the insights gained into ...