000 01809naaaa2200313uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/67827
005 20220220042610.0
020 _aintechopen.87784
020 _a9781839683190
020 _a9781839683183
020 _a9781839683206
024 7 _a10.5772/intechopen.87784
_cdoi
041 0 _aEnglish
042 _adc
072 7 _aUYQ
_2bicssc
100 1 _aBirant, Derya
_4edt
700 1 _aBirant, Derya
_4oth
245 1 0 _aData Mining : Methods, Applications and Systems
260 _bIntechOpen
_c2021
300 _a1 electronic resource (212 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aData 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.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/3.0/
_2cc
_4https://creativecommons.org/licenses/by/3.0/
546 _aEnglish
650 7 _aArtificial intelligence
_2bicssc
653 _aMachine learning
856 4 0 _awww.oapen.org
_uhttps://mts.intechopen.com/storage/books/9961/authors_book/authors_book.pdf
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/67827
_70
_zDOAB: description of the publication
999 _c64997
_d64997