Data Mining
Concepts and Applications
| dc.contributor.editor | Thomas, Ciza | |
| dc.date.accessioned | 2022-07-27T08:16:00Z | |
| dc.date.available | 2022-07-27T08:16:00Z | |
| dc.date.issued | 2022 | |
| dc.identifier | ONIX_20220727_9781839692673_119 | |
| dc.identifier.issn | 2633-1403 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/90223 | |
| dc.description.abstract | The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and knowledge. Data mining is a promising and leading-edge technology for mining large volumes of data, looking for hidden information, and aiding knowledge discovery. It can be used for characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, and much more in fields such as science, medicine, economics, engineering, computers, and even business analytics. This book presents basic concepts, ideas, and research in data mining. | |
| dc.language | English | |
| dc.relation.ispartofseries | Artificial Intelligence | |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning | en_US |
| dc.subject.other | Machine learning | |
| dc.title | Data Mining | |
| dc.title.alternative | Concepts and Applications | |
| dc.type | book | |
| oapen.identifier.doi | 10.5772/intechopen.95167 | |
| oapen.relation.isPublishedBy | 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 | |
| oapen.relation.isbn | 9781839692673 | |
| oapen.relation.isbn | 9781839692666 | |
| oapen.relation.isbn | 9781839692680 | |
| oapen.imprint | IntechOpen | |
| oapen.series.number | 8 | |
| oapen.pages | 224 |
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