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题名:	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
贡献者:	資科系
关键词:	Big Data; FinTech Data analytics; Financial service innovation; Mobile technology;Cloud computing
日期:	2018-11
上传时间:	2019-10-30 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
数据类型:	book/chapter
DOI 連結:	https://doi.org/10.1007/978-3-319-95465-3_6
DOI:	10.1007/978-3-319-95465-3_6
显示于类别:	[資訊科學系] 專書/專書篇章

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