Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/68341
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dc.contributor.authorChidchamaiporn Kanmaien_US
dc.contributor.authorChartchai Doungsa-arden_US
dc.contributor.authorWorachet Kanjanakuhaen_US
dc.contributor.authorJuggapong Natwichaien_US
dc.date.accessioned2020-04-02T15:25:16Z-
dc.date.available2020-04-02T15:25:16Z-
dc.date.issued2020-01-01en_US
dc.identifier.issn23673389en_US
dc.identifier.issn23673370en_US
dc.identifier.other2-s2.0-85074688104en_US
dc.identifier.other10.1007/978-3-030-33509-0_37en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074688104&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/68341-
dc.description.abstract© Springer Nature Switzerland AG 2020. This paper presents a case study on data analytical platform deployment. The platform takes datasets continuously from social media platform, Facebook, and provide some insight information for sell personal in automotive industry in Thailand. The goal is to improve the sale performance of the sale team. Using information from the Facebook Graph API on the Facebook pages of an automotive industry dealer, the developed platform can then analyze such data and store the insight into the stored data system. When the users search for the related keywords or hashtags, the information in the form of graphs, images, and text can be returned. Both system performance experimental results, as well as the focus-group interviewing are to be presented to validate our proposed work.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleData Analytical Platform Deployment: A Case Study from Automotive Industry in Thailanden_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Networks and Systemsen_US
article.volume96en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsExxonMobilen_US
Appears in Collections:CMUL: Journal Articles

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