Parallelization Algorithm for the Calculation of Typical Testors Based on YYC

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the present work, a new method is proposed to find typical testors, which helps reduce the number of features needed to carry out classification processes. Using the strategy of divide and conquer, we divide a basic matrix into blocks, then we find the typical testors of the defined blocks. To find the typical testors of the complete basic matrix, unions between the elements of these sets obtained from the blocks are tested. A criterion is developed to determine when the unions of typical testors of blocks form typical testors of the complete matrix. The performance of the method is evaluated using synthetic matrices. The execution time of the method in parallel and sequential versions was compared and contrasted with the YYC algorithm used for the complete basic matrix. Finally, its performance is analyzed in a real database obtained from the UCI Repository.

Original languageEnglish
Title of host publicationInformation Systems and Technologies - WorldCIST 2023
EditorsAlvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Valentina Colla
PublisherSpringer Science and Business Media Deutschland GmbH
Pages477-489
Number of pages13
ISBN (Print)9783031456411
DOIs
StatePublished - 2024
Event11th World Conference on Information Systems and Technologies, WorldCIST 2023 - Pisa, Italy
Duration: 4 Apr 20236 Apr 2023

Publication series

NameLecture Notes in Networks and Systems
Volume799 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference11th World Conference on Information Systems and Technologies, WorldCIST 2023
Country/TerritoryItaly
CityPisa
Period4/04/236/04/23

Keywords

  • accuracy
  • classification
  • computational efficiency
  • neural networks
  • pattern recognition
  • time execution
  • typical testors

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