Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/127160
DC FieldValueLanguage
dc.contributor資科系
dc.creator蔡子傑
dc.creatorTsai, Tzu-Chieh
dc.creatorSeng*, Jia-Lang
dc.creatorChiang, Yao-Min
dc.creatorChang, Pang-Ru
dc.creatorWu, Feng-Shang
dc.creatorYen, Yung-Shen
dc.date2018-11
dc.date.accessioned2019-10-30T02:26:32Z-
dc.date.available2019-10-30T02:26:32Z-
dc.date.issued2019-10-30T02:26:32Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/127160-
dc.description.abstractIn this chapter, we examine the research issues related to the real-time and mobile data analytics in the area of FinTechs. The issues examined consist of the non-traditional data analytics approach, news media sentiment analysis and opinion mining, asset pricing modeling, real-world financial multi-case study, and mobile cloud computing creation. We develop the multifactor asset pricing model, the multiword text analytics approach, the supply demand framework of financial service innovation, and the Big Data mobile prototype system. The promising research results include the technology transfer to a start-up firm, the university-industry cooperation, the set of three apps in the Android store, and the multi-case study reports and academic publications.
dc.format.extent661249 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationBig Data in Computational Social Science and Humanities, Springer, pp.139-163
dc.subjectBig Data ; FinTech Data analytics ; Financial service innovation ; Mobile technology ; Cloud computing 
dc.titleChap 6: Big Data and Fintech
dc.typebook
dc.identifier.doi10.1007/978-3-319-95465-3_6
dc.doi.urihttps://doi.org/10.1007/978-3-319-95465-3_6
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_2f33-
item.openairetypebook-
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