This community houses research from the Faculty of Computing and Mathematical Sciences at the University of Waikato.

Sub-communities within Computing and Mathematical Sciences

Collections in Computing and Mathematical Sciences

  • Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams

    van Rijn, Jan N.; Holmes, Geoffrey; Pfahringer, Bernhard; Vanschoren, Joaquin (IEEE, 2015-01-01)
    Ensembles of classifiers are among the best performing classifiers available in many data mining applications. However, most ensembles developed specifically for the dynamic data stream setting rely on only one type of ...
  • Learning Distance Metrics for Multi-Label Classification

    Gouk, Henry; Pfahringer, Bernhard; Cree, Michael J. (2016)
    Distance metric learning is a well studied problem in the field of machine learning, where it is typically used to improve the accuracy of instance based learning techniques. In this paper we propose a distance metric ...
  • Flow clustering using machine learning techniques

    McGregor, Anthony James; Hall, Mark A.; Lorier, Perry; Brunskill, James (Springer, 2004)
    Packet header traces are widely used in network analysis. Header traces are the aggregate of traffic from many concurrent applications. We present a methodology, based on machine learning, that can break the trace down ...
  • Metrics for openness

    Nichols, David M.; Twidale, Michael B. (2017)
    The characterization of scholarly communication is dominated by citation-based measures. In this paper we propose several metrics to describe different facets of open access and open research. We discuss measures to represent ...
  • Modular Supervisor Synthesis for Extended Finite-State Machines Subject to Controllability

    Malik, Robi; Teixeira, Marcelo (IEEE, 2016-01-01)
    This paper proposes an algorithm for the synthesis of modular supervisors using extended finite-state machines, i.e., state machines with variables and guards on the transitions. Synthesis is performed by iteratively ...
  • Compositional synthesis of supervisors in the form of state machines and state maps

    Mohajerani, Sahar; Malik, Robi; Fabian, Martin (Elsevier, 2017)
    This paper investigates the compositional abstraction-based synthesis of least restrictive, controllable, and nonblocking supervisors for discrete event systems that are given as a large number of finite-state machines. ...
  • What's news? Encounters with news in everyday life: A study of behaviours and attitudes

    Cunningham, Sally Jo; Nichols, David M.; Hinze, Annika; Bowen, Judy (Springer, 2016)
    As the news landscape changes, for many users the nature of news itself is changing as well. Insights into the changing news behaviour of users can inform the design of access tools and news archives. We analysed a set of ...
  • Supporting gender-neutral digital library creation: a case study using the GenderMag toolkit

    Cunningham, Sally Jo; Hinze, Annika; Nichols, David M. (Springer International Publishing, 2016)
    Software is assumed by its creators and maintainers to be gender-neutral: that is, that it is equally well suited for use by any user, regardless of gender. We investigate this assumption in the digital libraries context ...
  • Students and their videos: implications for a video digital library

    Cunningham, Sally Jo; Nichols, David M.; Bowen, Judy (Springer International Publishing, 2016)
    Personal information collections have expanded to include video files but users often organize their content with the same tools they use for other simpler media types. We analyze the ‘native’ video management behavior ...
  • A generalized two-component model of solar wind turbulence and ab initio diffusion mean-free paths and drift lengthscales of cosmic rays

    Wiengarten, T.; Oughton, Sean; Engelbrecht, N.E.; Fichtner, H.; Kleimann, J.; Scherer, K. (IOP, 2016)
    We extend a two-component model for the evolution of fluctuations in the solar wind plasma so that it is fully three-dimensional (3D) and also coupled self-consistently to the large-scale magnetohydrodynamic equations ...
  • Determining word–emotion associations from tweets by multi-label classification

    Bravo-Marquez, Felipe; Frank, Eibe; Mohammad, Saif M.; Pfahringer, Bernhard (IEEE Computer Society, 2016)
    The automatic detection of emotions in Twitter posts is a challenging task due to the informal nature of the language used in this platform. In this paper, we propose a methodology for expanding the NRC word-emotion ...
  • From opinion lexicons to sentiment classification of tweets and vice versa: a transfer learning approach

    Bravo-Marquez, Felipe; Frank, Eibe; Pfahringer, Bernhard (IEEE Computer Society, 2016)
    Message-level and word-level polarity classification are two popular tasks in Twitter sentiment analysis. They have been commonly addressed by training supervised models from labelled data. The main limitation of these ...
  • Randomising block sizes for BlockCopy-based wind farm layout optimisation

    Mayo, Michael; Daoud, Maisa; Zheng, Chen (Springer International Publishing AG, 2016)
    The BlockCopy stochastic local search algorithm is a state-of-the-art optimiser for the Wind Farm Layout Optimisation problem. Unlike many other metaheuristics-based optimisers, BlockCopy requires the specification of only ...
  • BlockCopy-based operators for evolving efficient wind farm layouts

    Mayo, Michael; Zheng, Chen (IEEE, 2016)
    A novel search operator, BlockCopy, is proposed for efficiently solving the wind farm layout optimisation problem. BlockCopy, which can be used either as mutation or a crossover operator, copies patterns of turbines from ...
  • Spatio-temporal modelling of crime using low discrepancy sequences

    Brown, Paul T.; Joshi, Chaitanya; Joe, Stephen; McCarter, Nigel (2016)
    We perform spatio-temporal modelling of burglary data in order to predict areas of high criminal risk for local authorities. We wish to account for several spatio-temporal factors as latent processes to make the model as ...
  • OpinionZoom, a modular tool to explore tourism opinions on the Web

    Marrese-Taylor, Edison; Velasquez, JD; Bravo-Marquez, Felipe (2013-12-01)
    In this paper, we propose OpinionZoom, a modular software that helps users in an easy manner to understand the vast amount of tourism opinions disposed all over the Web. We also successfully implemented and tested OpinionZoom, ...
  • Combining strengths, emotions and polarities for boosting Twitter sentiment analysis

    Bravo-Marquez, Felipe; Mendoza, Marcelo; Poblete, Barbara (2013-01-01)
    Twitter sentiment analysis or the task of automatically retrieving opinions from tweets has received an increasing interest from the web mining community. This is due to its importance in a wide range of fields such as ...
  • Building ensembles of adaptive nested dichotomies with random-pair selection

    Leathart, Tim; Pfahringer, Bernhard; Frank, Eibe (Springer, 2016)
    A system of nested dichotomies is a method of decomposing a multi-class problem into a collection of binary problems. Such a system recursively applies binary splits to divide the set of classes into two subsets, and trains ...
  • Location-based vocabulary learning app

    Wu, Shaoqun; Pammi, Karun; Yu, Alex (The University of Technology, Sydney, 2016)
    This paper presents a mobile app that generates vocabulary learning games based on the user’s geographical location—cinema, restaurant, museum, etc. The app sends the user a notification and offers three fun vocabulary ...
  • Building a Twitter opinion lexicon from automatically-annotated tweets

    Bravo-Marquez, Felipe; Frank, Eibe; Pfahringer, Bernhard (Elsevier, 2016-09-15)
    Opinion lexicons, which are lists of terms labelled by sentiment, are widely used resources to support automatic sentiment analysis of textual passages. However, existing resources of this type exhibit some limitations ...

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