Workshop on Collaboration and Data Science

CODASSCA 2020


Data Mining & Analysis Databases & Information Systems



This workshop expects to attract paper submissions which deal with the challenges mentioned above. The studies may be in specialized areas and show novel solutions. Especially interesting are approaches based on existing theories suitably applied.
Potential topics include but are not limited to the following:
Track on Collaborative Technologies with Applications in Smart Cities
Collaborative Mobile Information Systems
Collaborative Virtual Museums and Laboratories
Collaborative Mobile Virtual Environments for Learning or Knowledge Management
Collaborative Visual Analytics
Track on Data Science and Information Theoretic Approaches for Smart Systems
Formalizing Security and Privacy
Smart System Optimization from both Points of View
Track on Technical Challenges for Smart Environments
Internet of Things in Smart Environments
Design of Recommender Systems for AmI and SmE Systems
SmE Middleware: Security and Privacy Issues
Reliable Visual Analytics in AmI and SmE systems
Track on Artifical Intelligence, Neural Networks and Deep Learning
Neural Networks – Various Types and Architectures
Embedded Deep Learning
AI and Machine Learning
Applications in Language and Image Processing
Application on Classification
Applications on Regression
Applications on Recommender Systems
Track on Smart Human Centered Computing
Social Computing
Recommender Systems
Ambient Assisted Living
E-Health
GIS Applications