Data Mining
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology i...
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| Formaat: | Online |
|---|---|
| Taal: | Engels |
| Gepubliceerd in: |
IntechOpen
2023
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| Onderwerpen: | |
| Online toegang: | ONIX_20231201_9781789235975_1365 |
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| _version_ | 1869520439172136960 |
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| collection | Directory of Open Access Books |
| description | This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications. |
| format | Online |
| id | doab-20.500.12854ir-130256 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1302562024-04-14T10:27:48Z Data Mining Thomas, Ciza machine learning, aging, remote sensing, big data, ethics, random forest thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications. 2023-12-01T17:12:42Z 2023-12-01T17:12:42Z 2018 book ONIX_20231201_9781789235975_1365 9781789235975 9781789235968 9781838815677 https://directory.doabooks.org/handle/20.500.12854/130256 eng image/jpeg n/a https://www.intechopen.com/books/6578 https://mts.intechopen.com/storage/books/6578/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.71371 10.5772/intechopen.71371 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789235975 9781789235968 9781838815677 IntechOpen 190 open access |
| spellingShingle | machine learning, aging, remote sensing, big data, ethics, random forest thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining Data Mining |
| title | Data Mining |
| title_full | Data Mining |
| title_fullStr | Data Mining |
| title_full_unstemmed | Data Mining |
| title_short | Data Mining |
| title_sort | data mining |
| topic | machine learning, aging, remote sensing, big data, ethics, random forest thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining |
| topic_facet | machine learning, aging, remote sensing, big data, ethics, random forest thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining |
| url | ONIX_20231201_9781789235975_1365 |