Special Session on Data Mining with Hierarchical Fuzzy Systemsat IEEE FUZZ-IEEE 2012, Brisbane, Australia, 10-15 June 2012
Fuzzy systems, such as hierarchical fuzzy systems, fuzzy signatures, and hierarchical applications of fuzzy Markovian models and fuzzy integrals, are useful to deal with real world data sets with high dimensionality or complex structure. This usefulness is derived from their ability to avoid the combinatorial explosion most traditional fuzzy approaches suffer, or by modelling the complex nature of some data sets effectively. In general, the area of data mining abounds with high dimensional or complex structured data. On the other hand, industrial data mining applications need to overcome scalability issues when dealing with very large data sets. In this session, we focus on fuzzy and related approaches to such data mining tasks.
This special session's main focus is to foster research in data mining using fuzzy systems, particularly hierarchical fuzzy systems. We also welcome discussion of issues and solutions related to application of data mining techniques / research to industry.
Topics of interest include, but are not limited to data mining for/with:
- Fuzzy systems in general
- High dimensional data
- Complex structured data
- Scalability issues
- Time series or sequential data
- Fuzzy signatures
- Hierachical use of fuzzy Markovian models
- Hierachical use of fuzzy integrals
- Hierarchical fuzzy systems
Paper SubmissionSubmissions should follow the guidance given on the IEEE FUZZ-IEEE 2012 conference website. When submitting, please select:
- Submission to FUZZ-IEEE 2012
- Main research topic: Special Session on "Data Mining with Hierarchical Fuzzy Systems".