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dc.contributor.authorGulay, Tarverdiyeva-
dc.contributor.authorAytaj, İsmayilova-
dc.date.accessioned2023-12-13T11:11:27Z-
dc.date.available2023-12-13T11:11:27Z-
dc.date.issued2023-05-11-
dc.identifier.urihttp://dspace.azjhpc.org/xmlui/handle/123456789/181-
dc.description.abstractEverything that surrounds us today automated. Machines have grown to be a need in our daily lives. Every single human activity involves a machine. Without a question, one of the most important and useful technologies now in use is machine learning. By the use of machine learning, a system may infer assumptions from its past output without being explicitly programmed. Machine learning adopted in nearly all industries today. Therefore, it is crucial to understand all machine-learning paces. Based on numerous algorithms, machine learning applied to the appropriate sectors. I analyze machine learning in this work and present the decision tree method as a solution to the issue.en_US
dc.language.isoenen_US
dc.publisherAzərbaycan Dövlət Neft və Sənaye Universitetien_US
dc.subjectMachine learningen_US
dc.subjectbig dataen_US
dc.subjectdecision treeen_US
dc.subjectdata classificationen_US
dc.subjectdata visualizationen_US
dc.titleExploring Machine Learning and Decision Trees for Data Classification and Visualization in Big Dataen_US
dc.typeBooken_US
dc.source.journaltitle1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGYen_US
dc.source.volume1en_US
dc.source.issue1en_US
dc.source.beginpage15en_US
dc.source.endpage20en_US
dc.source.numberofpages6en_US
Appears in Collections:1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY

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