Browsing by Author "Holmes, Geoffrey"

Now showing items 6-10 of 105

  • Batch-incremental versus instance-incremental learning in dynamic and evolving data

    Read, Jesse; Bifet, Albert; Pfahringer, Bernhard; Holmes, Geoffrey (Springer, 2012)
    Many real world problems involve the challenging context of data streams, where classifiers must be incremental: able to learn from a theoretically- infinite stream of examples using limited time and memory, while being ...
  • Benchmarking attribute selection techniques for data mining

    Hall, Mark A.; Holmes, Geoffrey (University of Waikato, Department of Computer Science, 2000-07)
    Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable ...
  • Benchmarking attribute selection techniques for discrete class data mining

    Hall, Mark A.; Holmes, Geoffrey (University of Waikato, Department of Computer Science, 2002-04)
    Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable ...
  • Biosensing by Learning: Cancer Detection as Iterative optimization.

    Chen, Yifan; Sharifi, Neda; Holmes, Geoffrey; Cheang, U. Kei (IEEE, 2018)
    We propose a novel cancer detection procedure (CDP) based on an iterative optimization method. The global minimum of a tumor-induced biological cost function indicates the tumor location, the domain of the cost function ...
  • Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams

    Holmes, Geoffrey; Pfahringer, Bernhard; Kirkby, Richard Brendon (2006)
    We present an architecture for data streams based on structures typically found in web cache hierarchies. The main idea is to build a meta level analyser from a number of levels constructed over time from a data stream. ...