Advances in Data Mining Knowledge Discovery and Applications
Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data minin...
Guardado en:
| Formato: | Online |
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| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2021
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| Materias: | |
| Acceso en línea: | ONIX_20210420_9789535107484_1559 |
| Etiquetas: |
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| _version_ | 1869525092922294272 |
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| collection | Directory of Open Access Books |
| description | Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications. |
| format | Online |
| id | doab-20.500.12854ir-66201 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-662012024-04-14T10:27:44Z Advances in Data Mining Knowledge Discovery and Applications Karahoca, Adem Databases thema EDItEUR::U Computing and Information Technology::UN Databases Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications. 2021-04-20T15:36:40Z 2021-04-20T15:36:40Z 2012 book ONIX_20210420_9789535107484_1559 9789535107484 9789535157106 https://directory.doabooks.org/handle/20.500.12854/66201 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/3047/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/3349 10.5772/3349 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535107484 9789535157106 IntechOpen 402 open access |
| spellingShingle | Databases thema EDItEUR::U Computing and Information Technology::UN Databases Advances in Data Mining Knowledge Discovery and Applications |
| title | Advances in Data Mining Knowledge Discovery and Applications |
| title_full | Advances in Data Mining Knowledge Discovery and Applications |
| title_fullStr | Advances in Data Mining Knowledge Discovery and Applications |
| title_full_unstemmed | Advances in Data Mining Knowledge Discovery and Applications |
| title_short | Advances in Data Mining Knowledge Discovery and Applications |
| title_sort | advances in data mining knowledge discovery and applications |
| 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_20210420_9789535107484_1559 |