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016 7 a| 0169657522| Uk;

016 7 a| 0170096242| Uk;

020 a| 9781118824856q| (paperback);

020 a| 1118824857q| (paperback);

020 z| 9781118824894q| (ebk.);

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050 00 a| HF5415.32b| .S926 2019;

082 04 a| 658.8/34028563122| 23;

100 1 a| Szabó, Gábor.=| ^A953122;

245 10 a| Social media data mining and analyticsh| [electronic resource] /c| Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos.;

246 3 a| Data mining and analytics;

260 a| Indianapolis, IN :b| John Wiley & Sons,c| [2019];

300 a| xxxv, 316 pages :b| illustrations ;c| 24 cm;

500 a| Includes index.;

504 a| Includes index.;

505 0 a| Users: 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.;

506 a| Available only to authorized users.;

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;

538 a| Mode of access: World Wide Web;

650 0 a| Data miningx| Social aspects.=| ^A408868;

650 0 a| Consumer profilingx| Data processing.=| ^A591585;

650 0 a| Consumer behaviorx| Forecasting.=| ^A231577;

650 0 a| Business planningx| Data processing.=| ^A990531;

650 0 a| Social mediax| Data processing.=| ^A770054;

650 0 a| Data mining.=| ^A408868;

650 7 a| Data miningx| Social aspects.2| fast0| (OCoLC)fst01983683;

650 7 a| Business planningx| Data processing.2| fast0| (OCoLC)fst00842824;

650 7 a| Consumer behaviorx| Forecasting.2| fast0| (OCoLC)fst00876242;

650 7 a| Data mining.2| fast0| (OCoLC)fst00887946;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=5520247;

947 a| (OCoLC)ocn897884896;

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Social media data mining and analytics / Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos.

Author/creator	Szabó, Gábor
Format	Electronic
Publication Info	Indianapolis, IN : John Wiley & Sons, [2019]
Description	xxxv, 316 pages : illustrations ; 24 cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Data mining--Social aspects. Consumer profiling--Data processing. Consumer behavior--Forecasting. Business planning--Data processing. Social media--Data processing. Data mining.

Variant title	Data mining and analytics
Contents	Users: 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.
Abstract	"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
General note	Includes index.
Bibliography note	Includes index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2018956702 2014948538
ISBN	9781118824856 (paperback)
ISBN	1118824857 (paperback)
ISBN	(ebk.)

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Social media data mining and analytics / Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos.

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