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PSO-based Constrained Imbalanced Data Classification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106418" target="_blank" >RIV/00216305:26230/13:PU106418 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10438" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10438</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    PSO-based Constrained Imbalanced Data Classification

  • Original language description

    The paper deals with classification of highly imbalanced data with accuracy constraints for the minority class. We solve this problem by our proposed meta-learning method that uses cost-sensitive logistic regression to generate initial candidate models. These models can be used as an initial solutions for various optimization algorithms. This paper is aimed for using Particle Swarm Optimization (PSO) to handle the constrained imbalanced classification problem. Experiments, comparing with Genetic Algorithm (GA), show that the swarm intelligence approach is suitable for this problem and outperforms GA.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Twelth International Conference on Informatics INFORMATICS'2013

  • ISBN

    978-80-8143-127-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    234-239

  • Publisher name

    The University of Technology Košice

  • Place of publication

    Spišská Nová Ves

  • Event location

    Spišská Nová Ves

  • Event date

    Nov 5, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article