About RSCTC 2010
Conference History | Aim and Scope
Rough set theory, proposed by Zdzislaw Pawlak in 1982, has been attracting researchers and practitioners in various fields of science and technology. The impact of the theory of rough sets and its applications is remarkable since its inception and is still growing. The simple yet powerful concept of rough sets has become the basis for original developments in both theoretical research, including logics, algebra and topology, and applied research, including artificial intelligence and approximate reasoning, data mining and knowledge discovery, decision theory, image processing and pattern recognition to name a few. The latter led to many real life applications in diversified areas such as biology, bioinformatics, chemistry, economics, engineering, environment, finance, medicine, political analysis, robotics, and even art and culture. As the rough set concept handles a specific type of data "imperfection" related to granularity of information, it is complementary to other approaches used for handling data "imperfection" such as fuzzy sets, Bayesian reasoning, neural networks, evolutionary algorithms, granular computing, statistics, and logical analysis of data. This complementarity is exploited in hybrid approaches for improving the performance of algorithms in real-life applications and data sets.
The biannual international conference on Rough Sets and Current Trends in Computing (RSCTC) show cases the state-of-the-art in rough set theory, current computing methods and their applications. It is intended to bring together researchers and practitioners from universities, laboratories and industry, to facilitate dialogue and cooperation.
Conference History:
RSCTC is an outgrowth of a series of annual International Workshops devoted to the subject of rough sets, started in Poznan, Poland in 1992, and then held alternatively in Canada, the USA, Japan, China, and India (RSKD, RSSC, RSFDGrC series).
The first RSCTC conference was held in Warsaw, Poland in 1998. The conference proceeding were published as volume 1424 of Springer's Lecture Notes in Artificial Intelligence (LNAI).
It was followed by series of successful RSCTC conferences:
Aim and Scope:
The aim of RSCTC 2010 is to provide researchers and practitioners interested in emerging information technologies an opportunity to highlight innovative research directions, novel applications, and emphasize relationships between rough sets and related areas. The Conference Proceedings will be published as a volume in Springer's Lecture Notes in Artificial Intelligence (LNAI).
Relevant topics include, but are not limited to:
- Logical and
mathematical foundations of rough sets
- Applications of rough sets
- Rough-fuzzy hybrid
methods
- Fuzzy set theory and applications
- Knowledge discovery and
data mining
- Machine learning
- Approximate and
uncertain reasoning
- Bioinformatics
- Bio-inspired and
evolutionary computing
- Case-based reasoning
- Computational
intelligence
- Computing with words
- Decision support
systems
- Formal concept analysis and concept
lattices
-
- Granular computing
- Hybrid methods in
software engineering
- Intelligent systems
- Interactive computing
- Logical aspects of soft
computing: fuzzy, rough, type 2 fuzzy reasoning and beyond
- Multi-agent systems
- Multi-criteria decision
support
- Multimedia applications
- Neural networks
- Non-classical logic
- Pattern recognition and
image processing
- Petri nets and
concurrency
- Process mining and
intelligent planning
-
- Soft computing
- Signal Processing
- Spatial reasoning
- Statistical inference
- Web intelligence and
Web mining