Genetic algorithm approach to construction of specialized multi-classifier systems: Application to DNA analysis

Romesh Ranawana, Vasile Palade, Daniel Howard

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

3 Citations (Scopus)

Abstract

Learning algorithms aim for accuracy of classification but this depends on a choice of heuristic metric to measure performance and also on the proper consideration and addressing of the important requirements of the classification task. This paper introduces a framework, MVGen, to implement different training heuristics capable of inducing the training algorithm that can provide the desired results while negating detrimental aspects of a training set imbalance. Our experiments indicate that successful classifiers can indeed be built to specialize on the minority class within an imbalanced data set.

Original languageEnglish
Title of host publicationProceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007
PublisherIEEE
Pages341-346
Number of pages6
ISBN (Print)0769529992, 9780769529998
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventFrontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007 - Jeju Island, Korea, Republic of
Duration: 11 Oct 200713 Oct 2007

Conference

ConferenceFrontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007
CountryKorea, Republic of
CityJeju Island
Period11/10/0713/10/07

Keywords

  • Genetic algorithms
  • Algorithm design and analysis
  • Testing
  • Sequences
  • DNA computing
  • Laboratories
  • Neural networks
  • Guidelines
  • Bioinformatics
  • Information technology
  • genetic algorithms
  • biology computing
  • DNA
  • imbalanced data set
  • genetic algorithm approach
  • specialized multiclassifier systems
  • DNA analysis
  • learning algorithms
  • training algorithm

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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  • Cite this

    Ranawana, R., Palade, V., & Howard, D. (2007). Genetic algorithm approach to construction of specialized multi-classifier systems: Application to DNA analysis. In Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007 (pp. 341-346). [4524130] IEEE. https://doi.org/10.1109/FBIT.2007.146