Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Xiangrui Chao"'
Autor:
Hanyao Gao, Gang Kou, Haiming Liang, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li, Yucheng Dong
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-35 (2024)
Abstract This study provides a comprehensive review of machine learning (ML) applications in the fields of business and finance. First, it introduces the most commonly used ML techniques and explores their diverse applications in marketing, stock ana
Externí odkaz:
https://doaj.org/article/3c23359f10bf41e28e14a7c419eaf150
Autor:
Limei Jing, Xiangrui Chao
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-14 (2022)
Abstract Words representing individual preferences in group decision-making (GDM) are always associated with different meanings. Consequently, mining personalized semantics of decision-makers (DMs) hidden in preference expressions, and establishing a
Externí odkaz:
https://doaj.org/article/c9adfcb165d349f68e7add1b59b35d00
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Social media platforms have become an important tool for travel advertisement. This study constructs the bounded confidence model to build an improved cross-platform competitive travel advertising information dissemination model based on open and clo
Externí odkaz:
https://doaj.org/article/1795d963a902472cb04764d051e3dacb
Publikováno v:
Technological and Economic Development of Economy, Vol 28, Iss 2 (2022)
Security against systemic financial risks is the main theme for financial stability regulation. As modern financial markets are highly interconnected and complex networks, their network resilience is an important indicator of the ability of the finan
Externí odkaz:
https://doaj.org/article/0bdc1c2f12cb4b5f9b452a8163689e1a
Publikováno v:
Technological and Economic Development of Economy (2019)
Financial systemic risk is an important issue in economics and financial systems. Trying to detect and respond to systemic risk with growing amounts of data produced in financial markets and systems, a lot of researchers have increasingly employed ma
Externí odkaz:
https://doaj.org/article/0d2e044b7fa840738055af738a600b74
Publikováno v:
Technological and Economic Development of Economy, Vol 25, Iss 6 (2019)
Trade-based Money Laundering, a new form of money laundering using international trade as a signboard, always appears along with speculative capital movement which has been accepted as the most concerned and consensus incentive giving rise to the col
Externí odkaz:
https://doaj.org/article/39fa7d0625a84356b1572a7d60266d44
Publikováno v:
ACM Transactions on Internet Technology. 23:1-27
When making decisions, individuals often express their preferences linguistically. The computing with words methodology is a key basis for supporting linguistic decision making, and the words in that methodology may mean different things to different
Publikováno v:
Information Sciences. 608:1131-1156
Balancing the accuracy rates of the majority and minority classes is challenging in imbalanced classification. Furthermore, data characteristics have a significant impact on the performance of imbalanced classifiers, which are generally neglected by
Publikováno v:
IEEE Transactions on Fuzzy Systems. :1-15
Publikováno v:
Journal of Management & Organization
The sudden outbreak of coronavirus disease-2019 (COVID-19) sparked widespread concern about organisational resilience in the management domain. The resources, operations and practices of organisational resilience have to be considered in particular c