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Data mining is a branch of computer science that is used to automatically extract meaningful, useful knowledge and previously unknown, hidden, interesting patterns from a large amount of data to support the decision-making process. This book presents recent theoretical and practical advances in the field of data mining. It discusses a number of data mining methods, including classification, clustering, and association rule mining. This book brings together many different successful data mining studies in various areas such as health, banking, education, software engineering, animal science, and the environment |
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Birant, Derya HerausgeberIn edt, Data Mining Methods, Applications and Systems, [Erscheinungsort nicht ermittelbar] IntechOpen 2021, 1 Online-Ressource (212 p.), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Open Access Unrestricted online access star, Data mining is a branch of computer science that is used to automatically extract meaningful, useful knowledge and previously unknown, hidden, interesting patterns from a large amount of data to support the decision-making process. This book presents recent theoretical and practical advances in the field of data mining. It discusses a number of data mining methods, including classification, clustering, and association rule mining. This book brings together many different successful data mining studies in various areas such as health, banking, education, software engineering, animal science, and the environment, Creative Commons https://creativecommons.org/licenses/by/3.0 cc, English, Artificial intelligence, https://directory.doabooks.org/handle/20.500.12854/67827 X:DOAB Verlag kostenfrei, https://directory.doabooks.org/handle/20.500.12854/67827 LFER, LFER 2021-12-08T09:50:57Z, https://directory.doabooks.org/handle/20.500.12854/67827 Zum Online-Dokument DE-Zi4, DE-Zi4 2022-03-16T16:07:48Z |
spellingShingle |
Data Mining: Methods, Applications and Systems, Data mining is a branch of computer science that is used to automatically extract meaningful, useful knowledge and previously unknown, hidden, interesting patterns from a large amount of data to support the decision-making process. This book presents recent theoretical and practical advances in the field of data mining. It discusses a number of data mining methods, including classification, clustering, and association rule mining. This book brings together many different successful data mining studies in various areas such as health, banking, education, software engineering, animal science, and the environment, Artificial intelligence |
title |
Data Mining: Methods, Applications and Systems |
title_auth |
Data Mining Methods, Applications and Systems |
title_full |
Data Mining Methods, Applications and Systems |
title_fullStr |
Data Mining Methods, Applications and Systems |
title_full_unstemmed |
Data Mining Methods, Applications and Systems |
title_short |
Data Mining |
title_sort |
data mining methods applications and systems |
title_sub |
Methods, Applications and Systems |
topic |
Artificial intelligence |
topic_facet |
Artificial intelligence |
url |
https://directory.doabooks.org/handle/20.500.12854/67827 |