Publication:
Using KNN algorithm for classification of textual documents

dc.citedby45
dc.contributor.authorMoldagulova A.en_US
dc.contributor.authorSulaiman R.B.en_US
dc.contributor.authorid57160071400en_US
dc.contributor.authorid25825633600en_US
dc.date.accessioned2023-05-29T06:37:43Z
dc.date.available2023-05-29T06:37:43Z
dc.date.issued2017
dc.descriptionClassification (of information); Information retrieval systems; Learning systems; Nearest neighbor search; Tellurium compounds; Text processing; Automated classification; Exponential growth; K nearest neighbor (KNN); k-NN algorithm; Text classification; Textual documents; Two sources; Learning algorithmsen_US
dc.description.abstractNowadays the exponential growth of generation of textual documents and the emergent need to structure them increase the attention to the automated classification of documents into predefined categories. There is wide range of supervised learning algorithms that deal with text classification. This paper deals with an approach for building a machine learning system in R that uses K-Nearest Neighbors (KNN) method for the classification of textual documents. The experimental part of the research was done on collected textual documents from two sources: http://egov.kz and http://www.government.kz. The experiment was devoted to challenging thing of the KNN algorithm that to find the proper value of k which represents the number of neighbors. � 2017 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8079924
dc.identifier.doi10.1109/ICITECH.2017.8079924
dc.identifier.epage671
dc.identifier.scopus2-s2.0-85040006860
dc.identifier.spage665
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85040006860&doi=10.1109%2fICITECH.2017.8079924&partnerID=40&md5=4570e54d60ebb904bbb0df87d61278d9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23085
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleICIT 2017 - 8th International Conference on Information Technology, Proceedings
dc.titleUsing KNN algorithm for classification of textual documentsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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