A system for detecting cascading fuzzy cycles

James P. Buckley, Jennifer M. Seitzer, Nagini Addagatlan, Gandhi Babu Chilaka

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

Abstract

This paper defines the concept of a cycle and how it is constructed using mined rules. Cascading cycles, those that have a common vertex, are defined and discussed. These concepts are formulated into a fuzzy cycle paradigm. A system that uses RDF files as input and detects cascading cycles was developed and tested.

Original languageEnglish
Title of host publicationWMSCI 2012 - The 16th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Pages115-119
Number of pages5
Publication statusPublished - 2012
Externally publishedYes
Event16th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2012 - Oralndo, FL, United States
Duration: 17 Jul 201220 Jul 2012

Publication series

NameWMSCI 2012 - The 16th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Volume1

Conference

Conference16th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2012
Country/TerritoryUnited States
CityOralndo, FL
Period17/07/1220/07/12

Keywords

  • Cycle mining
  • Data mining
  • Fuzzy cycles
  • Machine learning

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