000 | 03166cam a2200553 i 4500 | ||
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001 | 20651089 | ||
003 | OSt | ||
005 | 20240822120332.0 | ||
008 | 180829t20192019inua 001 0 eng d | ||
010 |
_a 2018956702 _z 2014948538 |
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015 |
_aGBB504756 _2bnb |
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015 |
_aGBB4D8268 _2bnb |
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016 | 7 |
_a016965752 _2Uk |
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016 | 7 |
_a017009624 _2Uk |
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020 |
_a9781118824856 _q(paperback) |
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020 |
_a1118824857 _q(paperback) |
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020 |
_z9781118824894 _q(ebk.) |
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035 | _a(OCoLC)ocn897884896 | ||
040 |
_aUKMGB _beng _cUKMGB _erda _dBTCTA _dBDX _dOCLCQ _dOCLCF _dJAS _dJRZ _dYDXIT _dMUU _dYDX _dCGP _dFQG _dOG$ _dOCL _dDLC |
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042 | _alccopycat | ||
050 | 0 | 0 |
_aHF5415.32 _b.S926 2019 |
082 | 0 | 4 |
_a658.8340 SZA 2019 _223 |
100 | 1 |
_aSzabó, Gábor, _eauthor. |
|
245 | 1 | 0 |
_aSocial media data mining and analytics / _cGabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos. |
246 | 3 | _aData mining and analytics | |
264 | 1 |
_aIndianapolis, IN : _bJohn Wiley & Sons, _c[2019] |
|
264 | 4 | _c©2019 | |
300 |
_axxxv, 316 pages : _billustrations ; _c24 cm |
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336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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500 | _aIncludes index. | ||
504 | _aIncludes index. | ||
505 | 0 | _aUsers: the who of social media -- Networks: the how of social media -- Temporal processes: the when of social media -- Content: the what of social media -- Processing large datasets -- Learn, map, and recommend -- Conclusions. | |
520 | _a"Social media is a rich source of big data, so much so that 90% of Fortune 500 companies are investing in big data initiatives to help them predict consumer behavior. Knowing the most effective ways to mine social media data can help you acquire information that generates amazing business results. Social media is unstructured, dynamic, and future-oriented. Effective, insightful data mining requires new analytical tools and techniques. Written by experts at social networking companies, Social Media Data Mining and Analytics provides a hands-on course that teaches you how to use state-of-the-art tools and sophisticated data mining techniques specifically geared to social media. It digs deeply into the mechanics of collecting and applying social media data to understand customers, define trends, and make predictions that can improve analytics for growth and sales. "--Amazon.com | ||
650 | 0 |
_aData mining _xSocial aspects. |
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650 | 0 |
_aConsumer profiling _xData processing. |
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650 | 0 |
_aConsumer behavior _xForecasting. |
|
650 | 0 |
_aBusiness planning _xData processing. |
|
650 | 0 |
_aSocial media _xData processing. |
|
650 | 0 | _aData mining. | |
650 | 7 |
_aData mining _xSocial aspects. _2fast _0(OCoLC)fst01983683 |
|
650 | 7 |
_aBusiness planning _xData processing. _2fast _0(OCoLC)fst00842824 |
|
650 | 7 |
_aConsumer behavior _xForecasting. _2fast _0(OCoLC)fst00876242 |
|
650 | 7 |
_aData mining. _2fast _0(OCoLC)fst00887946 |
|
906 |
_a7 _bcbc _ccopycat _d3 _encip _f20 _gy-gencatlg |
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942 |
_2ddc _cBK _n0 |
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999 |
_c67 _d67 |