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020 _a9789819935888
_9978-981-99-3588-8
024 7 _a10.1007/978-981-99-3588-8
_2doi
050 4 _aHF5548.32-.33
072 7 _aUF
_2bicssc
072 7 _aKJE
_2bicssc
072 7 _aCOM064000
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082 0 4 _a381.142
_223
100 1 _aCao, Jie.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aE-Commerce Big Data Mining and Analytics
_h[electronic resource] /
_cby Jie Cao.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aXVII, 203 p. 52 illus., 31 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced Studies in E-Commerce
505 0 _aIntroduction to e-commerce big data mining and analytics -- Acquisition and preprocessing of e-commerce big data -- E-commerce trajectory big data mining technology -- Fraud and anti-fraud on e-commerce platform -- Design of recommendation system on e-commerce platform -- Case study.
520 _aThis book seeks to give readers with a preliminary but critical introduction and summary of e-commerce and big data analysis. This book introduces how to achieve data acquisition and pre-processing. Specifically, this book provides three representative and interesting scenarios to demonstrate the application of e-commerce and big data analysis, i.e., trajectory big data mining technology, e-commerce fraud and anti-fraud, and recommendation system. Also this book provides the basic and illustrative operation steps of python programming language for e-commerce and big data analysis. By reading this book, readers can learn the basic concepts and principles of e-commerce and big data analysis.
650 0 _aElectronic commerce.
650 0 _aBig data.
650 1 4 _ae-Commerce and e-Business.
650 2 4 _aBig Data.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819935871
776 0 8 _iPrinted edition:
_z9789819935895
776 0 8 _iPrinted edition:
_z9789819935901
830 0 _aAdvanced Studies in E-Commerce
856 4 0 _uhttps://doi.org/10.1007/978-981-99-3588-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176942
_d176942