000 | 02768nam a22005415i 4500 | ||
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001 | 978-981-99-3588-8 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 230729s2023 si | s |||| 0|eng d | ||
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_a9789819935888 _9978-981-99-3588-8 |
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024 | 7 |
_a10.1007/978-981-99-3588-8 _2doi |
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050 | 4 | _aHF5548.32-.33 | |
072 | 7 |
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_a381.142 _223 |
100 | 1 |
_aCao, Jie. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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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. |
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300 |
_aXVII, 203 p. 52 illus., 31 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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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 |