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A Text Mining Algorithm Optimising the Determination of Relevant Studies

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dc.citedby1
dc.contributor.authorKhashfeh M.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorid57202812898en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid56036880900en_US
dc.date.accessioned2023-05-29T06:50:11Z
dc.date.available2023-05-29T06:50:11Z
dc.date.issued2018
dc.descriptionAbstracting; Autonomous agents; Computational methods; Multi agent systems; Robotics; Agent-based model; Document languages; Length determination; Literature studies; Preparation process; Regular expressions; Relevant Studies; Text mining; Data miningen_US
dc.description.abstractIn this paper, we develop a text mining algorithm that influences the identification of relevant literature studies. The algorithm consists of three processes, detection process; preparation process; and mining process. The detection process includes the determination of document language and abstract and keywords. The Preparation includes the processes, split content to paragraphs; paragraph length determination; converting text to lower case; text typography factor; content tokenization, removing stop words. Finally, the mining includes the processes, regular expression; normalization; grouping and computing frequency. The proposed algorithm would be useful in providing an alternative means of searching highly relevant content from large databases. � 2018 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8540553
dc.identifier.doi10.1109/ISAMSR.2018.8540553
dc.identifier.scopus2-s2.0-85059753220
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059753220&doi=10.1109%2fISAMSR.2018.8540553&partnerID=40&md5=a1166c04caeb51285ec52f11c7219d9f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23547
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleInternational Symposium on Agents, Multi-Agent Systems and Robotics 2018, ISAMSR 2018
dc.titleA Text Mining Algorithm Optimising the Determination of Relevant Studiesen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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