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020 _z9783030049201
020 _a9783030049218 (e-book)
035 _a(MiAaPQ)EBC5640101
035 _a(Au-PeEL)EBL5640101
035 _a(OCoLC)1083096670
039 9 _a201911191556
_bshuhada
_y201911131003
_zshuhada
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
082 0 4 _a006.312
_223
245 0 0 _aHigh-utility pattern mining :
_btheory, algorithms and applications /
_cPhilippe Fournier-Viger [and four others], editors.
264 1 _aCham, Switzerland :
_bSpringer,
_c2019.
300 _a1 online resource (343 pages).
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aStudies in big data ;
_vVolume 51
588 _aDescription based on print version record.
590 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 _aData mining.
655 4 _aElectronic books.
700 1 _aFournier-Viger, Philippe,
_eeditor.
776 0 8 _iPrint version:
_tHigh-utility pattern mining : theory, algorithms and applications.
_dCham, Switzerland : Springer, 2019
_h343 pages
_kStudies in big data ; Volume 51.
_z9783030049201
_w(DLC) 2018962757
797 2 _aProQuest (Firm)
830 0 _aStudies in big data ;
_vVolume 51.
856 4 0 _uhttps://ezproxy.taylors.edu.my/login?url=https://ebookcentral.proquest.com/lib/taylors/detail.action?docID=5640101
_zAn electronic book accessible through the World Wide Web; click to view
999 _c185206
_d185206