KEDSS 2018 : Knowledge Engineering for Decision Support Systems
Call For Papers
Registered and Presented papers will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
Proceedings of all past editions of CoDIT are published through IEEE Xplore and indexed in: DBLP, Conference Proceedings Citation Index | Thomson Reuters, SCOPUS, Ei Compendex and IEEE.
Session Co-Chairs :
Prof. Dr. Abdel-Badeeh Salem , Ain Sham University, Cairo, Egypt Prof. Dr. Francesco Sicurello,University of Milan Bicocca, Italy Prof. Dr. Anna Sołtysik-Piorunkiewicz, University of Economics in Katowice, Poland Prof. Dr. Liliana M. Moga ,Dunarea de Jos University of Galati, Galati, Romania
Knowledge engineering (KE) deals with the development of intelligent information systems in which knowledge and reasoning play pivotal role. KE is a subfield of artificial intelligence (AI) and includes: knowledge acquisition, knowledge-based systems, knowledge compilation, shells and tools, methodologies, modeling, knowledge management, knowledge discovery, and knowledge representation. This special session is devoted to discussion of current research of the AI techniques and knowledge engineering methodologies for developing intelligent Decision Support Systems.
The goal is to provide a forum for the exchange of ideas between decision makers , computer scientists, and knowledge engineers to address the important issues in these areas.
The topics of interest include, but are not limited to:
Relevant intelligent techniques and systems
• Machine learning
• Inference and reasoning techniques
• Natural language processing
• Multi-agent Systems
• Expert Systems
• Data mining techniques
• Intelligent Shells and tools
Knowledge and ontological engineering
• Knowledge representation and management
• Knowledge discovery
• Knowledge acquisition and sharing
• Knowledge brokering
• Knowledge-based Systems
• Ontological approaches and methodologies.
Relevant Biomedical applications
• Hospital patient scheduling
• Electronic medical/health records
• Clinical management and research
• Patient health care
• Medical diagnosis
• Gene-expression microarray data mining
Relevant Business intelligence applications
• Electronic commerce Systems
• Scheduling and planning
• Virtual shopping environnements and Internal auditing
• e-Government and e-Service intelligence