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dc.contributor.authorMahmudzadeh, Zarifa-
dc.date.accessioned2023-12-16T20:45:29Z-
dc.date.available2023-12-16T20:45:29Z-
dc.date.issued2023-05-11-
dc.identifier.urihttp://dspace.azjhpc.org/xmlui/handle/123456789/216-
dc.description.abstractA brief overview of Data Mining methods and algorithms is carried out, their advantages and disadvantages are analyzed. In the article , it is noted that various Data Mining methods are characterized by certain features that can be decisive when choosing data analysis methods. It is noted that in order to compare them with each other, it is important to evaluate their properties such as accuracy, scalability, interpretability, testability, productivity, flexibility, speed and popularity.en_US
dc.language.isoenen_US
dc.publisherAzərbaycan Dövlət Neft və Sənaye Universitetien_US
dc.subjectData Miningen_US
dc.subjectCross tabulationen_US
dc.subjectneural networksen_US
dc.titleAnalysis of some approaches and methods for problem solving in Data Mining technologiesen_US
dc.typeBooken_US
dc.source.journaltitle1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGYen_US
dc.source.booktitle1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGYen_US
dc.source.volume1en_US
dc.source.issue1en_US
dc.source.beginpage328en_US
dc.source.endpage329en_US
dc.source.numberofpages2en_US
Appears in Collections:1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY

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