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/.