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001 EBC5355540
003 MiAaPQ
005 20240724113139.0
006 m o d |
007 cr cnu||||||||
008 240724s2018 xx o ||||0 eng d
020 _a9781948580502
_q(electronic bk.)
020 _z9781948580496
035 _a(MiAaPQ)EBC5355540
035 _a(Au-PeEL)EBL5355540
035 _a(CaPaEBR)ebr11549511
035 _a(OCoLC)1034597722
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
050 4 _aQA76.9.D343 .O476 2018
082 0 _a006.312
100 1 _aOlson, David L.
245 1 0 _aData Mining Models, Second Edition.
250 _a2nd ed.
264 1 _aNew York :
_bBusiness Expert Press,
_c2018.
264 4 _c©2018.
300 _a1 online resource (184 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aCover -- Contents -- Acknowledgments -- Chapter 1: Data Mining in Business -- Chapter 2: Business Data Mining Tools -- Chapter 3: Data Mining Processes and Knowledge Discovery -- Chapter 4: Overview of Data Mining Techniques -- Chapter 5: Data Mining Software -- Chapter 6: Regression Algorithms in Data Mining -- Chapter 7: Neural Networks in Data Mining -- Chapter 8: Decision Tree Algorithms -- Chapter 9: Scalability -- Notes -- References -- Index -- Adpage -- Backcover.
588 _aDescription based on publisher supplied metadata and other sources.
590 _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650 0 _aData mining.
650 0 _aBusiness-Data processing.
655 4 _aElectronic books.
700 1 _aOlson, David L.
776 0 8 _iPrint version:
_aOlson, David L.
_tData Mining Models, Second Edition
_dNew York : Business Expert Press,c2018
_z9781948580496
797 2 _aProQuest (Firm)
856 4 0 _uhttps://ebookcentral.proquest.com/lib/orpp/detail.action?docID=5355540
_zClick to View
999 _c1388
_d1388