• 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 ...

  

• 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 ...

  

• Scalable Text Mining with Sparse Generative Models 

  Puurula, Antti (University of Waikato, 2015)

  The information age has brought a deluge of data. Much of this is in text form, insurmountable in scope for humans and incomprehensible in structure for computers. Text mining is an expanding field of research that seeks ...

  

• Computing the fast Fourier transform on SIMD microprocessors 

  Blake, Anthony Martin (University of Waikato, 2012)

  This thesis describes how to compute the fast Fourier transform (FFT) of a power-of-two length signal on single-instruction, multiple-data (SIMD) microprocessors faster than or very close to the speed of state of the art ...

  

• Patterns of Change: Can modifiable software have high coupling? 

  Taube-Schock, Craig (University of Waikato, 2012)

  There are few aspects of modern life that remain unaffected by software, and as our day-to-day challenges change, so too must our software. Software systems are complex, and as they grow larger and more interconnected, ...

  

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