LEADER 00909nam0-2200289---450- 001 990009461520403321 005 20111024123512.0 035 $a000946152 035 $aFED01000946152 035 $a(Aleph)000946152FED01 035 $a000946152 100 $a20111024d1898----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $ay-------001yy 200 1 $a<>Protozoen als Krankheitserreger des Menschen und der Hausthiere$efur Arzte, Thierarzte und zoologen$fGeorg Schneidemuhl 210 $aLeipzig$cWilhelm Engelmann$d1898 215 $aVI, 195 p.$cill.$d24 cm 700 1$aSchneidemühl,$bGeorg$0512487 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009461520403321 952 $a53 D 26$b1951$fDMVAP 952 $a53 D 27$b3462$fDMVAP 959 $aDMVAP 996 $aProtozoen als Krankheitserreger des Menschen und der Hausthiere$9853193 997 $aUNINA LEADER 02994nam 2200493 450 001 9910810895503321 005 20201230184523.0 010 $a1-118-82490-3 010 $a1-118-82489-X 010 $a1-119-18351-0 035 $a(CKB)4330000000009163 035 $a(MiAaPQ)EBC5520247 035 $a(PPN)242697925 035 $a(CaSebORM)9781118824856 035 $a(OCoLC)1054093058 035 $a(EXLCZ)994330000000009163 100 $a20181009d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSocial media data mining and analytics /$fGabor Szabo [and three others] 205 $a1st edition 210 1$aIndianapolis, Indiana :$cWiley,$d2019. 215 $a1 online resource (355 pages) 300 $aIncludes index. 311 $a1-118-82485-7 327 $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. 330 $aHarness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and other rich data sources. In it, you will learn: The four key characteristics of online services-users, social networks, actions, and content The full data discovery lifecycle-data extraction, storage, analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions How to personalize the social media experience using machine learning Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms. 606 $aConsumer behavior$xForecasting 615 0$aConsumer behavior$xForecasting. 676 $a658.8342 700 $aSzabo?$b Ga?bor$01217542 702 $aBoykin$b Oscar 702 $aPolatkan$b Gungo 702 $aChalkiopoulus$b Antonios 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910810895503321 996 $aSocial media data mining and analytics$94075199 997 $aUNINA