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IUKM 2015 : Integrated Uncertainty in Knowledge Modelling

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Conference Series : Integrated Uncertainty in Knowledge Modelling
 
Link: http://www.jaist.ac.jp/IUKM/IUKM2015/
 
When Oct 15, 2015 - Oct 17, 2015
Where Nha Trang, Vietnam
Submission Deadline May 11, 2015
 

Call For Papers

Objectives and Topics

Solving complex practical problems often requires the integration of data and knowledge from different relevant sources and further takes uncertainty and impreciseness into account. This gives rise to the demand for innovative methodologies and efficient techniques of managing and integrating various types of data and knowledge with uncertainty/imprecision so as to ultimately improve the solution to any such complex problems in practice. The objectives of the Symposium are outlined as follows:
◾to bring together researchers working on uncertainty formalisms in information and knowledge systems;
◾to attract researchers working in social sciences (economics, business, management and environmental sciences) who are interested in applying uncertainty-related tools and techniques;
◾to bring together researchers and practitioners in order to foster the collaboration on research and application involving uncertainty management; and
◾to present and discuss open research problems and novel applications.

The topics of the Symposium include (but are not limited to) the following:

Theory and Methodology
◦Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods
◦Logics for reasoning under uncertainty
◦Information fusion and knowledge integration in uncertain environments
◦Decision making under various types of uncertainty
◦Aggregation operators for decision making
◦Copulas for dependence modelling
◦Granular and soft computing

Application
◦Data mining and knowledge discovery
◦Ontology engineering and Semantic Web
◦Intelligent data analysis and modelling
◦Medical informatics and bioinformatics
◦Ranking and recommendation systems
◦Kansei/affective engineering
◦Engineering management
◦Supply chain management
◦Environmental management
◦Service science
◦Economics and econometrics
◦Social network analysis and mining

Paper Submission and Publication

The authors are invited to submit their full papers by May 11, 2015. The submissions will be peer-reviewed for originality and scientific quality. As done in previous editions, the proceedings of IUKM 2015 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Symposium. Authors are requested to prepare their papers in the Springer LNAI format. Submissions should not exceed 12 pages and must be submitted electronically through the conference's Easychair submission page.

Symposium-Related Special Issues
After the Symposium, the authors of selected papers from IUKM 2015 will be invited to submit substantially extended and updated version of their work for possible inclusion in special issues of Annals of Operations Research and International Journal of Approximate Reasoning.

Related Resources

IUKM 2022   9th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making
IPMU 2022   19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
MUFin 2021   International Workshop on Modelling Uncertainty in the Financial World
UAI 2021   37th Conference on Uncertainty in Artificial Intelligence
KDD 2022   28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
SPIN 2021   8th International Conference on Signal Processing and Integrated Networks
Intelligence for Engineering 2022   ASME JCISE Special Issue on Machine Intelligence for Engineering under Uncertainties
KSEM 2022   International Conference on Knowledge Science, Engineering and Management
ISEM 2022   The International Society for Ecological Modelling Global Conference 2022: Ecological Models for Tomorrow’s Solutions
SEKE 2022   The 34th International Conference on Software Engineering and Knowledge Engineering