Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm
In distributed population systems, cohesive structures prevail, playing a crucial role in the evolution of species across different sites and fostering diversity. These structures employ local selection and reproduction methods to enhance the evolution process. Alterations in migration rules on cert...
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| Format: | Article |
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University of Qom
2024-03-01
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| Series: | مدیریت مهندسی و رایانش نرم |
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| Online Access: | https://jemsc.qom.ac.ir/article_2790_e2b32fa7097a5d1fd64b3d211db885e6.pdf |
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| _version_ | 1832577546925899776 |
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| author | Mohammadreza Dehghanimahmoudabadi Mohammadreza Mollahoseini Ardakani |
| author_facet | Mohammadreza Dehghanimahmoudabadi Mohammadreza Mollahoseini Ardakani |
| author_sort | Mohammadreza Dehghanimahmoudabadi |
| collection | DOAJ |
| description | In distributed population systems, cohesive structures prevail, playing a crucial role in the evolution of species across different sites and fostering diversity. These structures employ local selection and reproduction methods to enhance the evolution process. Alterations in migration rules on certain sites, coupled with the execution of search operations, have led to a significant improvement in discovering classification rules. Ultimately, information sharing is employed to mitigate the complexity of the identified rule set. This study evaluates the effectiveness of the Distributed Memetic Algorithm in discovering classification rules in data mining. The algorithm is analyzed based on results obtained from five datasets collected from UCI and KEEL repositories. The findings indicate that the Distributed Memetic Algorithm outperforms the traditional Memetic Algorithm in precision for predicting and discovering classification rules in data mining. This research underscores the observable impact of migration operations and search execution in the process of discovering classification rules in data mining. |
| format | Article |
| id | doaj-art-9f6973808d514bf398a12c0cecc30377 |
| institution | Kabale University |
| issn | 2538-6239 2538-2675 |
| language | fas |
| publishDate | 2024-03-01 |
| publisher | University of Qom |
| record_format | Article |
| series | مدیریت مهندسی و رایانش نرم |
| spelling | doaj-art-9f6973808d514bf398a12c0cecc303772025-01-30T20:19:06ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752024-03-0192506210.22091/jemsc.2024.8760.11682790Discovering the Rules of Data Mining Classification using Distributed Memetic AlgorithmMohammadreza Dehghanimahmoudabadi0Mohammadreza Mollahoseini Ardakani1azad univercity maybod,yazd,iran2. Assistant Professor, Department of Computer Engineering, Maybod Branch, Islamic Azad University, Maybod, Iran.In distributed population systems, cohesive structures prevail, playing a crucial role in the evolution of species across different sites and fostering diversity. These structures employ local selection and reproduction methods to enhance the evolution process. Alterations in migration rules on certain sites, coupled with the execution of search operations, have led to a significant improvement in discovering classification rules. Ultimately, information sharing is employed to mitigate the complexity of the identified rule set. This study evaluates the effectiveness of the Distributed Memetic Algorithm in discovering classification rules in data mining. The algorithm is analyzed based on results obtained from five datasets collected from UCI and KEEL repositories. The findings indicate that the Distributed Memetic Algorithm outperforms the traditional Memetic Algorithm in precision for predicting and discovering classification rules in data mining. This research underscores the observable impact of migration operations and search execution in the process of discovering classification rules in data mining.https://jemsc.qom.ac.ir/article_2790_e2b32fa7097a5d1fd64b3d211db885e6.pdfdistributed memetic algorithmclassification rulesparallel memetic algorithm |
| spellingShingle | Mohammadreza Dehghanimahmoudabadi Mohammadreza Mollahoseini Ardakani Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm مدیریت مهندسی و رایانش نرم distributed memetic algorithm classification rules parallel memetic algorithm |
| title | Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm |
| title_full | Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm |
| title_fullStr | Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm |
| title_full_unstemmed | Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm |
| title_short | Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm |
| title_sort | discovering the rules of data mining classification using distributed memetic algorithm |
| topic | distributed memetic algorithm classification rules parallel memetic algorithm |
| url | https://jemsc.qom.ac.ir/article_2790_e2b32fa7097a5d1fd64b3d211db885e6.pdf |
| work_keys_str_mv | AT mohammadrezadehghanimahmoudabadi discoveringtherulesofdataminingclassificationusingdistributedmemeticalgorithm AT mohammadrezamollahoseiniardakani discoveringtherulesofdataminingclassificationusingdistributedmemeticalgorithm |