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Big Data in Finance : Opportunities and Challenges of Financial Digitalization

Walker, Thomas (ed.); Davis, Frederick (ed.); … - 2022

Chapter 1: Big Data in Finance: An Overview -- SECTION I: BIG DATA IN THE FINANCIAL MARKETS -- Chapter 2: Alternative Data -- Chapter 3: An Algorithmic Trading Strategy to Balance Profitability and Risk -- Chapter 4: High-Frequency Trading and Market Efficiency in the Moroccan Stock Market --...

Persistent link: https://www.econbiz.de/10013392526

Big data driven order-up-to level model : application of machine learning

Clausen, Johan Bjerre Bach; Li, Hongyan - In: Computers & operations research : and their … 139 (2022), pp. 1-12

Persistent link: https://www.econbiz.de/10013342702

Applying machine learning algorithms to improve intrusion detection system in IoV

Houmer, Meriem; Ouaissa, Mariya; Ouaissa, Mariyam; … - In: Artificial intelligence of things in smart environments …, (pp. 35-50). 2022

Persistent link: https://www.econbiz.de/10013163586

Visual listening in: extracting brand image portrayed on social media

Liu, Liu; Dzyabura, Daria; Mizik, Natalie - 2019

Persistent link: https://www.econbiz.de/10012494099

Visual listening in : extracting brand image portrayed on social media

Liu, Liu; Dzyabura, Daria; Mizik, Natalie - In: Marketing science : the marketing journal of the … 39 (2020) 4, pp. 669-686

Persistent link: https://www.econbiz.de/10012294596

Sentiment analysis in tourism : capitalizing on big data

Alaei, Ali Reza; Becken, Susanne; Stantic, Bela - In: Journal of travel research : a quarterly publication of … 58 (2019) 2, pp. 175-191

Persistent link: https://www.econbiz.de/10011982297

Measuring Housing Activeness from Multi-Source Big Data and Machine Learning

Zhou, Yang; Xue, Lirong; Shi, Zhengyu; Wu, Libo; Fan, … - 2021

Measuring timely high-resolution socioeconomic outcomes is critical for policy making and evaluation, but hard to reliably obtain. With the help of machine learning and cheaply available data such as social media and nightlight, it is now possible to predict such indices in fine granularity....

Persistent link: https://www.econbiz.de/10013322570

Mapping the Knowledge Space : Exploiting Unassisted Machine Learning Tools

Teodoridis, Florenta; Lu, Jino; Furman, Jeffrey L. - National Bureau of Economic Research - 2022

Understanding factors affecting the direction of innovation is a central aim of research in the economics of innovation. Progress on this topic has been inhibited by difficulties in measuring distance and movement in knowledge space. We describe a methodology that infers the mapping of the...

Persistent link: https://www.econbiz.de/10013435165

Application of data mining and machine learning methods to enhance the effectiveness of digital marketing strategies

Gutnik, Sergey - In: Digital strategies in a global market : navigating the …, (pp. 131-144). 2021

Persistent link: https://www.econbiz.de/10013163958

Tension in big data using machine learning : analysis and applications

Wang, Huamao; Yao, Yumei; Salhi, Saïd - In: Technological forecasting & social change : an … 158 (2020), pp. 1-15

Persistent link: https://www.econbiz.de/10012519667