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CDEC 2020 : The Special Session on Data Marketing as Cross-disciplinary Data Exchange and Collaboration
CDEC 2020 : The Special Session on Data Marketing as Cross-disciplinary Data Exchange and Collaboration

CDEC 2020 : The Special Session on Data Marketing as Cross-disciplinary Data Exchange and Collaboration

Atlanta, GA, USA
Event Date: December 10, 2020 - December 13, 2020
Submission Deadline: August 31, 2020
Notification of Acceptance: October 16, 2020
Camera Ready Version Due: November 10, 2020




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:

  • Statistical Graphics and Mathematics
  • Financial, Security and Business
  • Physical Sciences and Engineering
  • Earth, Space, and Environmental Sciences
  • Geographic/Geospatial/ Terrain Data Mining
  • Text, Documents and Software
  • Social, Ambient and Information Sciences
  • Multimedia (Image/Video/Music) Mining

Case Studies on Data Exchange and Collaboration:

  • Methods for data evaluation and utilization
  • Data management and curation
  • Risks, limitations, and challenges of Data Exchange
  • Trust, resilience, privacy and security issues
  • Design of Data

Empirical And Comprehension Focused Data Mining:

  • Modeling of Machine Learning for Social Data
  • Data Mining and Machine Learning Methods Based on Empirical Knowledge
  • Ontology and Dictionary
  • Business Efficiency
  • Cognition and Perception Issues
  • Natural Language Processing Text mining
  • Retrieval/recommender systems

Data Focused Visualization Research:

  • High-Dimensional Data, Dimensionality
  • Reduction, and Data Compression
  • Multidimensional Multi-Field, Multi-Modal, Multi-Resolution and Multivariate Data
  • Causality and Uncertainty Data
  • Time Series, Time Varying, Streaming Data
  • Point-Based Data and Large Scale Data

Data Focused Cognitive Research:

  • Human-Computer Interaction, Cognitive Science, and Behavioral Science and Modeling, including quantitative and qualitative results
  • Theoretical models, technological advances and experimental methods of Human-Computer Interaction, Cognitive Science, and Behavioral Science and Modeling

Market of Data

  • Process and Technologies for Data Exchange
  • Representation of Knowledge and Requirements
  • Pricing and Evaluating Mechanism of Data
  • Design of Data Platform
  • Data Acquisition, and Sensors



Credits and Sources

[1] CDEC 2020 : The Special Session on Data Marketing as Cross-disciplinary Data Exchange and Collaboration


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