ICS 2016 - 7th International Workshop on Intelligent Computational Science (ICS 2016)
Topics/Call fo Papers
Intelligent computational science is becoming a hot research topic in recent years. It is a comprehensive application-oriented discipline. Its goal is to deal with massive and complex information, develop new and advanced theories and technologies. Artificial Intelligence technologies are usually used in the computational science area to make computer systems more intelligently process information. The research of intelligent computational science covers fundamental theories, application-oriented theories, key technologies and applications at multiple levels. This research not only has the high theoretical research value but also is of great importance for the infrastructures of the economy.
Topics
This workshop provides a forum for researchers and practitioners to present their latest research findings in any aspects of intelligent computational science. We especially encourage papers on Big Data, Knowledge Discovery, Knowledge Management, Artificial Intelligence, Machine Learning, Grid, Cloud Computing, Distributed Computing etc. We also welcome papers that highlight successful modern applications of intelligent computational science, such as e-Service, e-Learning, Business Intelligence. ICS 2016 attempts to meet the needs of a large and diverse community. The topics include, but not limit to:
- Knowledge discovery and management
- Artificial Intelligence
- Grid
- Computational intelligence
- Bayesian networks
- Business intelligence
- Data mining
- Machine learning
- E-learning
- Evolutionary computation
- Neural computing
- Fuzzy and rough set
- Image processing
- Information retrieval
- Cloud computing
- Natural language processing
- Ontology engineering
- Text processing and text understanding
- Web mining
- Distributed computing
- Network security
- Big Data
Topics
This workshop provides a forum for researchers and practitioners to present their latest research findings in any aspects of intelligent computational science. We especially encourage papers on Big Data, Knowledge Discovery, Knowledge Management, Artificial Intelligence, Machine Learning, Grid, Cloud Computing, Distributed Computing etc. We also welcome papers that highlight successful modern applications of intelligent computational science, such as e-Service, e-Learning, Business Intelligence. ICS 2016 attempts to meet the needs of a large and diverse community. The topics include, but not limit to:
- Knowledge discovery and management
- Artificial Intelligence
- Grid
- Computational intelligence
- Bayesian networks
- Business intelligence
- Data mining
- Machine learning
- E-learning
- Evolutionary computation
- Neural computing
- Fuzzy and rough set
- Image processing
- Information retrieval
- Cloud computing
- Natural language processing
- Ontology engineering
- Text processing and text understanding
- Web mining
- Distributed computing
- Network security
- Big Data
Other CFPs
Last modified: 2016-03-31 23:57:13