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DC Field | Value | Language |
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dc.contributor.author | Osmanova, Minara | - |
dc.date.accessioned | 2023-12-17T12:07:28Z | - |
dc.date.available | 2023-12-17T12:07:28Z | - |
dc.date.issued | 2023-05-11 | - |
dc.identifier.uri | http://dspace.azjhpc.org/xmlui/handle/123456789/254 | - |
dc.description.abstract | This article explores the application of data analytics methods in the context of big data technologies. Big data represents vast volumes of information that require specialized approaches to analysis and interpretation. Data analytics, including machine learning, deep learning, natural language processing, and time series analysis, plays a pivotal role in extracting valuable insights and uncovering hidden patterns within these data. The article also examines the application of data analytics in various domains, such as healthcare, finance, marketing, and manufacturing. The use of these methods enhances decision-making efficiency and optimizes business processes in the modern information age. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Azərbaycan Dövlət Neft və Sənaye Universiteti | en_US |
dc.subject | Big Data | en_US |
dc.subject | business processes | en_US |
dc.subject | information technology. | en_US |
dc.title | Application of data analytics methods In Big Data technologies | 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.booktitle | 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 | 171 | en_US |
dc.source.endpage | 173 | en_US |
dc.source.numberofpages | 3 | 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_4-171-173.pdf | 107.56 kB | Adobe PDF | View/Open |
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