Browsing by Author "Witten, Ian H."

Now showing items 1-5 of 183

  • Adaptive text mining: Inferring structure from sequences

    Witten, Ian H. (Elsevier B.V., 2004)
    Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes. Although ...

  • 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 agricultural data

    McQueen, Robert J.; Garner, Stephen R.; Nevill-Manning, Craig G.; Witten, Ian H. (1994-07)
    Many techniques have been developed for abstracting, or "learning," rules and relationships from diverse data sets, in the hope that machines can help in the often tedious and error-prone process of acquiring knowledge ...

  • Applying machine learning to programming by demonstration

    Paynter, Gordon W.; Witten, Ian H.; Koblitz, Neil; Powell, Matthew (Taylor & Francis, 2004)
    ‘Familiar’ is a tool that helps end-users automate iterative tasks in their applications by showing examples of what they want to do. It observes the user’s actions, predicts what they will do next, and then offers to ...

  • Arithmetic coding revisited

    Moffat, Alistair; Neal, Radford M.; Witten, Ian H. (ASSOC COMPUTING MACHINERY, 1998-07-01)
    Over the last decade, arithmetic coding has emerged as an important compression tool. It is now the method of choice for adaptive coding on multisymbol alphabets because of its speed, low storage requirements, and ...

Co-authors for Ian H. Witten

Supervised by Ian H. Witten

Showing up to 5 theses - most recently added to Research Commons first.

  • Automating vocabulary tests and enriching online courses for language learners

    König, Jemma Lynette (The University of Waikato, 2019)
    The past decade has seen a massive growth in online academic courses, most of which are offered in the English language. However, although more people speak English as their second language than as their first, online ...

  • Coordinating knowledge to improve optical music recognition

    McPherson, John (The University of Waikato, 2006)
    Optical Music Recognition (OMR) is the process of automatically processing and understanding an image of a music score. This process involves various distinct phases to transform the image into primitive shapes, musical ...

  • Privacy-preserving encoding for cloud computing

    Will, Mark Antony (The University of Waikato, 2019)
    Information in the cloud is under constant attack from cyber criminals as profitability increases; user privacy is also at risk with data being mined for monetary value – the new gold. A single leak could have devastating ...

  • Learner Modelling for Individualised Reading in a Second Language

    Walmsley, Michael (University of Waikato, 2015)
    Extensive reading is an effective language learning technique that involves fast reading of large quantities of easy and interesting second language (L2) text. However, graded readers used by beginner learners are expensive ...

  • A Predictive Model for the Parallel Processing of Digital Libraries

    Thompson, John Matthew (University of Waikato, 2015)
    The computing world is facing the problem of a seemingly exponential increase in the amount of raw digital data, and the speed at which it is being collected, is eclipsing our ability to manage it manually. Combine this ...

... View More