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

  • Comparing classical criteria for selecting intra-class correlated features in Multimix

    Hunt, Lynette Anne; Basford, Kaye E. (Elsevier, 2016)
    The mixture approach to clustering requires the user to specify both the number of components to be fitted to the model and the form of the component distributions. In the Multimix class of models, the user also has to ...
  • The online performance estimation framework: heterogeneous ensemble learning for data streams

    van Rijn, Jan N.; Holmes, Geoffrey; Pfahringer, Bernhard; Vanschoren, Joaquin (Springer, 2018)
    Ensembles of classifiers are among the best performing classifiers available in many data mining applications, including the mining of data streams. Rather than training one classifier, multiple classifiers are trained, ...
  • Proof-of-learning: A blockchain consensus mechanism based on machine learning competitions

    Bravo-Marquez, Felipe; Reeves, Steve; Ugarte, Martin (IEEE, 2019)
    This article presents WekaCoin, a peer-to-peer cryptocurrency based on a new distributed consensus protocol called Proof-of-Learning. Proof-of-learning achieves distributed consensus by ranking machine learning systems for ...
  • On calibration of nested dichotomies

    Leathart, Tim; Frank, Eibe; Pfahringer, Bernhard; Holmes, Geoffrey (Springer, 2019)
    Nested dichotomies (NDs) are used as a method of transforming a multiclass classification problem into a series of binary problems. A tree structure is induced that recursively splits the set of classes into subsets, and ...
  • Maintaining SLOs of cloud-native applications via self-adaptive resource sharing

    Podolskiy, Vladimir; Mayo, Michael; Koay, Abigail; Gerndt, Michael; Patros, Panos (IEEE, 2019)
    With changing workloads, cloud service providers can leverage vertical container scaling (adding/removing resources) so that Service Level Objective (SLO) violations are minimized and spare resources are maximized. In this ...
  • Node.js scalability investigation in the cloud

    Zhu, Jiapeng; Patros, Panagiotis; Kent, Kenneth B.; Dawson, Michael (ACM, 2018)
    Node.js has gained popularity in cloud development due to its asynchronous, non-blocking and event-driven nature. However, scalability issues can limit the number of concurrent requests while achieving an acceptable level ...
  • Collecting sensitive personal data in a multi-cultural environment

    Hinze, Annika; Timpany, Claire; Bowen, Judy; Chang, Carole; Starkey, Nicola J.; Elder, Hinemoa (2018)
    Traumatic Brain Injury (TBI) has long-term effects on memory and cognitive functions. This paper discusses the challenges encountered and lessons learned from developing augmented memory aids for people with TBI. In ...
  • Using the HTRC Data Capsule Model to promote reuse and evolution of experimental analysis of digital library data: a case study of topic modeling

    Bainbridge, David; Nichols, David M.; Hinze, Annika; Downie, J. Stephen (IEEE, 2019)
    We report on a case-study to independently reproduce the work given in a publicly available blog on how to develop a topic model sourced from a collection of texts, where both the data set and source code used are readily ...
  • Cross-helically forced and decaying hydromagnetic turbulence

    Brandenburg, Axel; Oughton, Sean (WILEY-V C H VERLAG GMBH, 2018)
    We study the evolution of kinetic and magnetic energy spectra in magnetohydrodynamic flows in the presence of strong cross helicity. For forced turbulence, we find a weak inverse transfer of kinetic energy toward the ...
  • Research and development absorptive capacity: a Māori perspective

    Ruckstuhl, Katharina; Amoamo, Maria; Hart, Ngaire Hiria; Martin, William John; Keegan, Te Taka Adrian Gregory; Pollock, Richard (The Royal Society of New Zealand, 2019)
    This paper presents a view of research and development absorptive capacity from a Māori perspective. The assessment is part of a case study of a longitudinal programme – Science for Technological Innovation: Kia kotahi mai ...
  • Design and the fourth industrial revolution. Dangers and opportunities for a mutating discipline

    Garcia Ferrari, Tomás (Taylor & Francis (Routledge), 2017)
    The nature of design has always been related to socio-technological forces. In the twentieth century, the first and second orders of design were central in the establishment of graphic and industrial design. In the early ...
  • Maumahara Papahou: A mobile augmented reality memory treasure box based on Māori mnemonic aids

    Taia, Ivy; Hinze, Annika; Vanderschantz, Nicholas; Keegan, Te Taka Adrian Gregory (2019)
    He aha te mea nui o te ao? He tangata, he tangata, he tangata. What is the most important thing in the world? It is people, it is people, it is people. Traumatic brain injury (TBI) is a worldwide “silent epidemic” causing ...
  • Insider threat modeling: An adversarial risk analysis approach

    Joshi, Chaitanya; Rios Insua, David; Rios, Jesus (2019)
    Insider threats entail major security issues in geopolitics, cyber security and business organizations. Most earlier work in the field has focused on standard game theoretic approaches. We provide here two alternative, ...
  • Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data.

    Peng, Mingkai; Sundararajan, Vijaya; Williamson, Tyler; Minty, Evan P.; Smith, Tony C.; Doktorchik, Chelsea T.A.; Quan, Hude (2018)
    OBJECTIVE: Data quality assessment is a challenging facet for research using coded administrative health data. Current assessment approaches are time and resource intensive. We explored whether association rule mining (ARM) ...
  • The University of Waikato usability laboratory

    Thomson, Kirsten; Apperley, Mark (2001)
    The University of Waikato Usability Laboratory is an environment where researchers are able to study and assess the usability of products while being used by their intended users. It allows for flexible configuration, and ...
  • FreeForm: Informal form design on a large interactive display surface

    Plimmer, Beryl; Apperley, Mark (2001)
    This demonstration shows the tool we have developed for hand-sketching user interfaces. Our motivation for developing this tool is to provide an environment where novice programmers can move freely along the design continuum ...
  • Evaluting a sketch environment for novice programmers

    Plimmer, Beryl; Apperley, Mark (ACM Press, 2003)
    This paper describes the evaluation of an electronic sketch interface design tool for novice programmers. A comparative study was undertaken with small groups using two different shared space environments; a conventional ...
  • A survey of neural network-based cancer prediction models from microarray data

    Daoud, Maisa; Mayo, Michael (Elsevier, 2019)
    Neural networks are powerful tools used widely for building cancer prediction models from microarray data. We review the most recently proposed models to highlight the roles of neural networks in predicting cancer from ...
  • AffectiveTweets: a Weka package for analyzing affect in tweets

    Bravo-Marquez, Felipe; Frank, Eibe; Pfahringer, Bernhard; Mohammad, Saif M. (Microtome Publishing, 2019)
    AffectiveTweets is a set of programs for analyzing emotion and sentiment of social media messages such as tweets. It is implemented as a package for the Weka machine learning workbench and provides methods for calculating ...
  • WekaDeeplearning4j: A deep learning package for weka based on Deeplearning4j

    Lang, Steven; Bravo-Marquez, Felipe; Beckham, Christopher J.; Hall, Mark A.; Frank, Eibe (Elsevier BV, 2019)
    Deep learning is a branch of machine learning that generates multi-layered representations of data, commonly using artificial neural networks, and has improved the state-of-the-art in various machine learning tasks (e.g., ...

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