Categories |
BIG DATA
MARKETING
DATA MINING
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About |
The recent social movement of big data and artificial intelligence has resulted in a tremendous increase in the importance of data. In view of these expectations, there are the externalizations of interdisciplinary issues. Many papers about data utilization have been published, and several approaches for analyzing data have been shared widely. However, there are only a limited number of studies on the process of cross-disciplinary data exchange and collaboration and its ecosystem. Since this process encompasses various activities of different stakeholders, it is difficult to evaluate the patterns or processes quantitatively. Moreover, in the data market, there are not only big data but also small data necessary for decision making. It is essential to discuss the dynamics of such a network of heterogeneous data in different fields. |
Call for Papers |
We call for anyone interested in the following topics of Cross-disciplinary Data Exchange and Collaboration. Data Mining Application Areas:
Case Studies on Data Exchange and Collaboration:
Empirical And Comprehension Focused Data Mining:
Data Focused Visualization Research:
Data Focused Cognitive Research:
Market of Data
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Credits and Sources |
[1] CDEC 2020 : The Special Session on Data Marketing as Cross-disciplinary Data Exchange and Collaboration |