RSKT 2014: International Conference on Rough Sets and Knowledge Technology
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Día de Entrega:
2014-05-31 Extended
Fecha de Notificación:
2014-06-20
Fecha de Conferencia:
2014-10-24
Ubicación:
Shanghai, China
Años:
9
Vistas: 19761 Seguidores: 0 Asistentes: 0
Solicitud de Artículos
RSKT 2014 (International Conference on Rough Sets and Knowledge Technology) is an academic conference held in Shanghai, China on 2014-10-24. The paper submission deadline is 2014-05-31 (extended). Acceptance notifications are sent on 2014-06-20.
Aim and Scope
The 9th International Conference on Rough Sets and Knowledge Technology (RSKT 2014) will be held from October 24 to October 26, 2014 in Tongji University, Shanghai, China. RSKT 2014 is the 9th conference in a series of international scientific conferences on Rough Sets and Knowledge Technology. The aim of RSKT is to present the innovative results, encourage academic and industrial interaction, and promote collaborative research in rough sets and knowledge technology worldwide. In keeping with the aims of the past conferences, RSKT 2014 will provide opportunity to explore synergies between rough sets and state-of-the-art knowledge technologies, in terms of both foundations and applications.
Important Dates
Paper Submission Due: May 10, 2014
Author Notification: June 20, 2014
Camera Ready Due: July 6, 2014
Topics
The topics relevant to RSKT 2014 include, but are not limited to:
Foundations and Generalizations of Rough Sets
Bayesian Rough Sets
Calculi of Approximation Spaces
Covering-based Rough Sets
Decision-theoretic Rough Sets
Dominance-based Rough Sets
Game-theoretic Rough Sets
Near Sets
Neighborhood Rough Sets
Neighborhood Rough Sets
Rough Sets in (Dynamic) Networks of Information Systems
Rough Granular Computing
Rough Mereology
Rough Uncertainty
Rough Sets in Data and Knowledge Processing
Adaptive Approximate Reasoning about Knowledge (Adaptive Judgment)
Interaction of Knowledge Sources
Interactive Rough Granular Computing
Ontology Approximation
Rough Sets in Knowledge Discovery, Data Mining, Machine Learning & Pattern Recognition
Hybridization of Rough Sets with Other Approaches
Applications of Rough Sets
Knowledge Technology Issues
Affective Computing
Approximate & Uncertain Reasoning
Cloud Computing
Computing with Words
Decision Support Systems
Domain-oriented Data-driven Data Mining
Evolutionary Computing
Formal Concept Analysis
Fuzzy Set Theory & Applications
Granular Computing
Hybrid Methods in Software Engineering
Intelligent Systems
Interactive Computing
Knowledge Discovery & Data Mining
Machine Learning
Multi Agent Systems
Methods of Bioinformatics
Multiple Criteria Decision Aiding
Multimedia Applications
Natural Computing
Neural Networks
Pattern Recognition & Image Processing
Perception based Computing
Petri Nets & Concurrency
Process Mining & Intelligent Planning
Semantic Web
Signal Processing
Social Networks
Spatio-Temporal Data Mining & Reasoning
Web Intelligence & Web Mining
Paper Submission
Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity. Each paper should be 10-12 pages long in the Springer-Verlag LNCS style, including figures, tables and references. Springer-Verlag author instructions are available at: http://www.springer.com/lncs. Please submit your paper in PDF format via our electronic paper submission system. We strongly recommend the use of LaTeX style files for this year's conference.
Publication
All accepted papers will be published in the conference proceedings by Springer-Verlag in the Lecture Notes in Artificial Intelligence (LNAI) series, which is published, in parallel to the printed books, in full-text electronic form via http://link.springer.com/.