scholarly journals Research on Demand Preference Analysis System of Contemporary Art Market Based on Big Data

2021 ◽  
Vol 1744 (4) ◽  
pp. 042133
Author(s):  
Lei Gao
2014 ◽  
Vol 17 (11) ◽  
pp. 1286-1295 ◽  
Author(s):  
Sung Il Son ◽  
Chan Khon Park

2020 ◽  
Vol 165 ◽  
pp. 06009
Author(s):  
Jie Gao

In order to meet external regulation and challenges, and improve the quality of internal economic activity analysis, this study establishes a linkage analysis system from corporate strategy to strategic objectives to financial indicators to business indicators by building 3 independent and interrelated analysis models. One of them is the model of influencing factors of change of operating efficiency index, one of them is the traceability analysis model of the sales of electricity and electricity price, and the last one is an investment performance traceability analysis model. In this study, the actual data of a unit is used as an example. With the help of big data analysis, we fully tap the value of the company’s big data, accurately locate the weak links and risk points of management. By doing this we finely promote economic activity analysis system more comprehensive, more real-time, more dynamic and more intelligent, and thus improve the efficiency of business decision-making. The practicality of economic activity analysis based on “operation, value and performance” is confirmed.


1995 ◽  
Vol 19 (2) ◽  
pp. 187-197 ◽  
Author(s):  
Walter Santagata
Keyword(s):  

Leonardo ◽  
2021 ◽  
pp. 1-9
Author(s):  
Kieran Browne

Abstract The mainstream contemporary art world is suddenly showing interest in “AI art”. While this has enlivened the practice, there remains significant disagreement over who or what actually deserves to be called an “AI artist”. This article examines several claimants to the term and grounds these in art history and theory. It addresses the controversial elevation of some artists over others and accounts for these choices, arguing that the art market alienates AI artists from their work. Finally, it proposes that AI art's interactions with art institutions have not promoted new creative possibilities but have instead reinforced conservative forms and aesthetics.


2018 ◽  
Vol 43 (1) ◽  
pp. 121-143
Author(s):  
Luigi Di Gaetano ◽  
Isidoro Mazza ◽  
Anna Mignosa
Keyword(s):  

2018 ◽  
Vol 33 (3) ◽  
pp. 187-202
Author(s):  
Wint Nyein Chan ◽  
Thandar Thein

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