Data Mining Applications in Engineering and Medicine
Data Mining Applications in Engineering and Medicine targets to help data miners who wish to apply different data mining techniques. Data mining generally covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc. In this book, mos...
Збережено в:
| Формат: | Online |
|---|---|
| Мова: | Англійська |
| Опубліковано: |
IntechOpen
2023
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| Предмети: | |
| Онлайн доступ: | ONIX_20231201_9789535107200_303 |
| Теги: |
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| _version_ | 1869530967667900416 |
|---|---|
| collection | Directory of Open Access Books |
| description | Data Mining Applications in Engineering and Medicine targets to help data miners who wish to apply different data mining techniques. Data mining generally covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc. In this book, most of the areas are covered by describing different applications. This is why you will find here why and how Data Mining can also be applied to the improvement of project management. Since Data Mining has been widely used in a medical field, this book contains different chapters reffering to some aspects and importance of its use in the mentioned field: Incorporating Domain Knowledge into Medical Image Mining, Data Mining Techniques in Pharmacovigilance, Electronic Documentation of Clinical Pharmacy Interventions in Hospitals etc. We hope that this book will inspire readers to pursue education and research in this emerging field. |
| format | Online |
| id | doab-20.500.12854ir-129195 |
| 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-1291952024-04-14T10:27:44Z Data Mining Applications in Engineering and Medicine Karahoca, Adem Databases thema EDItEUR::U Computing and Information Technology::UN Databases Data Mining Applications in Engineering and Medicine targets to help data miners who wish to apply different data mining techniques. Data mining generally covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc. In this book, most of the areas are covered by describing different applications. This is why you will find here why and how Data Mining can also be applied to the improvement of project management. Since Data Mining has been widely used in a medical field, this book contains different chapters reffering to some aspects and importance of its use in the mentioned field: Incorporating Domain Knowledge into Medical Image Mining, Data Mining Techniques in Pharmacovigilance, Electronic Documentation of Clinical Pharmacy Interventions in Hospitals etc. We hope that this book will inspire readers to pursue education and research in this emerging field. 2023-12-01T14:59:58Z 2023-12-01T14:59:58Z 2012 book ONIX_20231201_9789535107200_303 9789535107200 9789535142867 https://directory.doabooks.org/handle/20.500.12854/129195 eng image/jpeg n/a https://www.intechopen.com/books/2223 https://mts.intechopen.com/storage/books/2223/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/2616 10.5772/2616 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535107200 9789535142867 IntechOpen 338 open access |
| spellingShingle | Databases thema EDItEUR::U Computing and Information Technology::UN Databases Data Mining Applications in Engineering and Medicine |
| title | Data Mining Applications in Engineering and Medicine |
| title_full | Data Mining Applications in Engineering and Medicine |
| title_fullStr | Data Mining Applications in Engineering and Medicine |
| title_full_unstemmed | Data Mining Applications in Engineering and Medicine |
| title_short | Data Mining Applications in Engineering and Medicine |
| title_sort | data mining applications in engineering and medicine |
| topic | Databases thema EDItEUR::U Computing and Information Technology::UN Databases |
| topic_facet | Databases thema EDItEUR::U Computing and Information Technology::UN Databases |
| url | ONIX_20231201_9789535107200_303 |