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DC Field | Value | Language |
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dc.contributor.author | Gulay, Tarverdiyeva | - |
dc.contributor.author | Aytaj, İsmayilova | - |
dc.date.accessioned | 2023-12-13T11:11:27Z | - |
dc.date.available | 2023-12-13T11:11:27Z | - |
dc.date.issued | 2023-05-11 | - |
dc.identifier.uri | http://dspace.azjhpc.org/xmlui/handle/123456789/181 | - |
dc.description.abstract | Everything 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.iso | en | en_US |
dc.publisher | Azərbaycan Dövlət Neft və Sənaye Universiteti | en_US |
dc.subject | Machine learning | en_US |
dc.subject | big data | en_US |
dc.subject | decision tree | en_US |
dc.subject | data classification | en_US |
dc.subject | data visualization | en_US |
dc.title | Exploring Machine Learning and Decision Trees for Data Classification and Visualization in Big Data | en_US |
dc.type | Book | en_US |
dc.source.journaltitle | 1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY | en_US |
dc.source.volume | 1 | en_US |
dc.source.issue | 1 | en_US |
dc.source.beginpage | 15 | en_US |
dc.source.endpage | 20 | en_US |
dc.source.numberofpages | 6 | en_US |
Appears in Collections: | 1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY |
Files in This Item:
File | Description | Size | Format | |
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Industy_4-15-20.pdf | 464.95 kB | Adobe PDF | View/Open |
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