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題名 Big Data and Fintech
作者 蔡子傑
Tsai, Tzu-Chieh
Seng*, Jia-Lang
Chiang, Yao-Min
Chang, Pang-Ru
Wu, Feng-Shang
Yen, Yung-Shen
貢獻者 資科系
關鍵詞 Big Data ; FinTech Data analytics ; Financial service innovation ; Mobile technology ; Cloud computing 
日期 2018-11
上傳時間 30-Oct-2019 10:26:32 (UTC+8)
摘要 In 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.
關聯 Big Data in Computational Social Science and Humanities, Springer, pp.139-163
資料類型 book/chapter
DOI https://doi.org/10.1007/978-3-319-95465-3_6
dc.contributor 資科系-
dc.creator (作者) 蔡子傑-
dc.creator (作者) Tsai, Tzu-Chieh-
dc.creator (作者) Seng*, Jia-Lang-
dc.creator (作者) Chiang, Yao-Min-
dc.creator (作者) Chang, Pang-Ru-
dc.creator (作者) Wu, Feng-Shang-
dc.creator (作者) Yen, Yung-Shen-
dc.date (日期) 2018-11-
dc.date.accessioned 30-Oct-2019 10:26:32 (UTC+8)-
dc.date.available 30-Oct-2019 10:26:32 (UTC+8)-
dc.date.issued (上傳時間) 30-Oct-2019 10:26:32 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/127160-
dc.description.abstract (摘要) In 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.extent 661249 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Big Data in Computational Social Science and Humanities, Springer, pp.139-163-
dc.subject (關鍵詞) Big Data ; FinTech Data analytics ; Financial service innovation ; Mobile technology ; Cloud computing -
dc.title (題名) Big Data and Fintech-
dc.type (資料類型) book/chapter-
dc.identifier.doi (DOI) 10.1007/978-3-319-95465-3_6-
dc.doi.uri (DOI) https://doi.org/10.1007/978-3-319-95465-3_6-