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Goldstein, Itay; Spatt, Chester S.; Ye, Mao - In: The review of financial studies 34 (2021) 7, pp. 3213-3225

Persistent link: https://www.econbiz.de/10012546376

Goldstein, Itay; Spatt, Chester S.; Ye, Mao - National Bureau of Economic Research - 2021

Big data is revolutionizing the finance industry and has the potential to significantly shape future research in finance. This special issue contains articles following the 2019 NBER/ RFS conference on big data. In this Introduction to the special issue, we define the "Big Data" phenomenon as a...

Persistent link: https://www.econbiz.de/10012496169

Mining axiomatic fuzzy set association rules for classification problems

Wang, Xin; Liu, Xiaodong; Pedrycz, Witold; Zhu, Xiaolei; … - In: European journal of operational research : EJOR 218 (2012) 1, pp. 202-210

Persistent link: https://www.econbiz.de/10009501047

Uncovering the message from the mess of big data

Bendle, Neil T.; Wang, Xin - In: Business horizons 59 (2016) 1, pp. 115-124

Persistent link: https://www.econbiz.de/10011422876

Audio mining : the role of vocal tone in persuasion

Wang, Xin; Lu, Shijie; Li, Xi; Khamitov, Mansur; … - In: Journal of consumer research : JCR ; an … 48 (2021) 2, pp. 189-211

Persistent link: https://www.econbiz.de/10012620027

Video mining : measuring visual information using automatic methods

Li, Xi; Shi, Mengze; Wang, Xin - In: International journal of research in marketing : IJRM ; … 36 (2019) 2, pp. 216-231

Persistent link: https://www.econbiz.de/10012063324

Does topic consistency matter? : a study of critic and user reviews in the movie industry

Kim, Eunsoo; Ding, MengQi; Wang, Xin; Lu, Shijie - In: Journal of marketing 87 (2023) 3, pp. 428-450

Persistent link: https://www.econbiz.de/10014245142

Beyond text : marketing strategy in a world turned upside down

Wang, Xin; Bendle, Neil T.; Pan, Yinjie - In: Journal of the Academy of Marketing Science 52 (2024) 4, pp. 939-954

Persistent link: https://www.econbiz.de/10015048039

Mining axiomatic fuzzy set association rules for classification problems

Wang, Xin; Liu, Xiaodong; Pedrycz, Witold; Zhu, Xiaolei; … - In: European Journal of Operational Research 218 (2012) 1, pp. 202-210

In this paper, we propose a novel method to mine association rules for classification problems namely AFSRC (AFS association rules for classification) realized in the framework of the axiomatic fuzzy set (AFS) theory. This model provides a simple and efficient rule generation mechanism. It can...

Persistent link: https://www.econbiz.de/10010574150