Research Advances in Data Mining Techniques and Applications
For contemporary societies, data mining has emerged as a serious challenge. Thanks to more advanced analytical tools, the Big Data explosion has enabled businesses to assess their performance more thoroughly and accurately. For example, transitioning from using a basic spreadsheet to using data lake...
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| Format: | Online |
|---|---|
| Jezik: | engleski |
| Izdano: |
IntechOpen
2024
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| Teme: | |
| Online pristup: | ONIX_20240711_9781837690794_75 |
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| _version_ | 1869515899123269632 |
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| collection | Directory of Open Access Books |
| description | For contemporary societies, data mining has emerged as a serious challenge. Thanks to more advanced analytical tools, the Big Data explosion has enabled businesses to assess their performance more thoroughly and accurately. For example, transitioning from using a basic spreadsheet to using data lake modeling offers more flexibility in terms of consulting and summarizing vast amounts of data from many business angles. Data mining, which is the foundation for this optimization of data analysis, has been strengthened by artificial intelligence and machine learning to find patterns in this deluge of data and build future prediction models, turning it into a critical tool for decision-making. This book provides an understanding of the most modern techniques and uses for data mining. It examines data mining in order to classify datasets, predict outcomes, and optimize analyses. Furthermore, the book demonstrates these technological developments by highlighting relevant applications of data mining in industry, biology, education, medicine, and health. |
| format | Online |
| id | doab-20.500.12854ir-140261 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1402612024-07-11T07:54:03Z Research Advances in Data Mining Techniques and Applications Rybarczyk, Yves Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning For contemporary societies, data mining has emerged as a serious challenge. Thanks to more advanced analytical tools, the Big Data explosion has enabled businesses to assess their performance more thoroughly and accurately. For example, transitioning from using a basic spreadsheet to using data lake modeling offers more flexibility in terms of consulting and summarizing vast amounts of data from many business angles. Data mining, which is the foundation for this optimization of data analysis, has been strengthened by artificial intelligence and machine learning to find patterns in this deluge of data and build future prediction models, turning it into a critical tool for decision-making. This book provides an understanding of the most modern techniques and uses for data mining. It examines data mining in order to classify datasets, predict outcomes, and optimize analyses. Furthermore, the book demonstrates these technological developments by highlighting relevant applications of data mining in industry, biology, education, medicine, and health. 2024-07-11T07:54:00Z 2024-07-11T07:54:00Z 2024 book ONIX_20240711_9781837690794_75 2633-1403 9781837690794 9781837690787 9781837690800 https://directory.doabooks.org/handle/20.500.12854/140261 eng Artificial Intelligence image/jpeg n/a https://www.intechopen.com/books/12615 https://mts.intechopen.com/storage/books/12615/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.107722 10.5772/intechopen.107722 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781837690794 9781837690787 9781837690800 IntechOpen 25 160 open access |
| spellingShingle | Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Research Advances in Data Mining Techniques and Applications |
| title | Research Advances in Data Mining Techniques and Applications |
| title_full | Research Advances in Data Mining Techniques and Applications |
| title_fullStr | Research Advances in Data Mining Techniques and Applications |
| title_full_unstemmed | Research Advances in Data Mining Techniques and Applications |
| title_short | Research Advances in Data Mining Techniques and Applications |
| title_sort | research advances in data mining techniques and applications |
| topic | Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| topic_facet | Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| url | ONIX_20240711_9781837690794_75 |