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DC Field | Value | Language |
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dc.contributor.author | Ayed, Toufik | - |
dc.date.accessioned | 2022-11-21T09:52:47Z | - |
dc.date.available | 2022-11-21T09:52:47Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://dspace.univ-tiaret.dz:80/handle/123456789/5338 | - |
dc.description.abstract | Big Data Mining is a great source of information and knowledge from systems to other end users. However, managing such a large amount of data / knowledge requires automation, which is leading to a trend in data processing and machine learning techniques. Machine learning helps us make decisions if there is not a "right way" for the specific problem in previous knowledge bases, and it offers some of the most widely used tools for analysis and modeling. In this work we provide a good understanding of the best machine learning algorithm (s) applied for the processing of Big Data Mining. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Université Ibn Khaldoun -Tiaret- | en_US |
dc.subject | Big Data Mining, Machine Learning, Big Data Technologies, Parallel and Distributed Computing | en_US |
dc.title | Big Data Mining: An overview on Machines Learning Algorithms | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Master |
Files in This Item:
File | Description | Size | Format | |
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TH.M.INF.FR.2020.01.pdf | 4,02 MB | Adobe PDF | View/Open |
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