The 2nd International Conference on Fuzzy Systems and Data Mining (FSDM 2016), organized by Macau University of Science and Technology, is scheduled to be held in conjunction with the 6th International conference on Electronics, Communications and Networks(CECNet 2016), Macau, December 11-14, 2016.
The success of the FSDM 2015, held in Shanghai, gathered more than 90 related experts and scholars around the world to exchange the state-of-the-art developments in the field of Fuzzy Systems and Data Mining, which gives us strong reasons to believe that FSDM 2016 will attract more authors to submit their previously unpublished original research papers and not under consideration for publication elsewhere.
Macau, a city where East meets West, will be an ideal gathering place for everyone from domestic and overseas coming for this annual international conference to meet each other. On behalf of the organizing committee, we cordially invite scientists as well as scholars to participate in FSDM 2016.
Fuzzy Theory, Algorithm and System:
Stability of Fuzzy Systems
Mathematical foundations of Fuzzy Systems
Rough set
Fuzzy optimization and modeling
Fuzzy decision and support
Fuzzy algorithm
Fuzzy control
Fuzzy architectural spatial analysis
Fuzzy classification
Fuzzy complex
Fuzzy concept
Fuzzy control language
Fuzzy control system
Fuzzy electronics
Fuzzy subalgebra
Fuzzy diagnosis
Fuzzy Application:
Fuzzy image, speech and signal processing
Fuzzy hardware and architectures
Soft computing
Fuzzy Systems and the internet
Fuzzy application recognition and diagnostics
Fuzzy application in multimedia
Fuzzy application in vehicle
Interdisciplinary Field of Fuzzy Logic and Data Mining:
Applications in electrical engineering
Applications in manufacturing engineering
Applications in industrial engineering
Applications in chemical engineering
Applications in mechanical engineering
Applications in civil engineering
Applications in engineering management
Applications in bioengineering
Applications in biomedical engineering
Applications in environmental issues
Data Mining:
Scalable data preprocessing
Parallel and distributed data mining algorithms
Mining on data streams
Graph and subgraph mining
Methodologies on large-scale data mining
Text, video, multimedia data mining
Web mining
High performance data mining algorithms
Data mining visualization
Security and privacy issues
Competitive analysis of mining algorithms
Data mining systems in finance and e-commerce
12月11日
2016
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