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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/127160


    Title: Chap 6: Big Data and Fintech
    Authors: 蔡子傑
    Tsai, Tzu-Chieh
    Seng*, Jia-Lang
    Chiang, Yao-Min
    Chang, Pang-Ru
    Wu, Feng-Shang
    Yen, Yung-Shen
    Contributors: 資科系
    Keywords: Big Data; FinTech Data analytics; Financial service innovation; Mobile technology;Cloud computing 
    Date: 2018-11
    Issue Date: 2019-10-30 10:26:32 (UTC+8)
    Abstract: 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.
    Relation: Big Data in Computational Social Science and Humanities, Springer, pp.139-163
    Data Type: book
    DOI 連結: https://doi.org/10.1007/978-3-319-95465-3_6
    DOI: 10.1007/978-3-319-95465-3_6
    Appears in Collections:[資訊科學系] 專書/專書篇章

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