KEDRI - Data Mining and Decision Support

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Data Mining and Decision Support

Current research projects:

  • Ecological Data Modelling and Event Prediction e.g.  establishment of harmful species (with SJTU, XU-China and Lincoln Uni.)
  • A holistic approach to Integrating multiple data sets through imputation

Predictive modelling of harmful species establishment from ecological data

This project will continue using SNN NeuCube-based approaches for a more accurate prediction of ecological events, but it will also develop new rule extraction algorithms for a better understanding of the modelled data and the ecological processes. NZ data has already been initially experimented and data from China will be trialled next as part of a tripartite project West China-East China–New Zealand. 

Project Team

  • Prof. N. Kasabov
  • A/Prof. R. Pears
  • A/Prof. S. Worner (Lincoln University)
  • Prof. J. Yang (Shanghai Jiao Tong University, China)
  • Prof. S. Ozawa (Kobe University, Japan)
  • R. Hartono

A holistic approach to Integrating multiple data sets through imputation

The project develops a novel method for the integration of multiple data sets with case studies in cancer and more specifically – bladder cancer.

 Project Team

  • Prof. N. Kasabov
  • V. Breen
  • PEBL team


Last updated: 30 Oct 2014 6:17pm

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