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dc.contributor.editorBirant, Derya
dc.date.accessioned2021-04-20T16:27:06Z
dc.date.available2021-04-20T16:27:06Z
dc.date.issued2021
dc.identifierONIX_20210420_9781839683190_3187
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/67827
dc.description.abstractData 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherMachine learning
dc.titleData Mining
dc.title.alternativeMethods, Applications and Systems
dc.typebook
oapen.identifier.doi10.5772/intechopen.87784
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781839683190
oapen.relation.isbn9781839683183
oapen.relation.isbn9781839683206
oapen.imprintIntechOpen
oapen.pages212


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