The 3rd International Conference on Fuzzy Systems and Data Mining (FSDM 2017), co-organized by National Dong Hwa University (NDHU), is scheduled to be held in conjunction with the 7th International Conference on Electronics, Communications and Networks (CECNet 2017) in National Dong Hwa University (NDHU) in Taiwan during November 24-27, 2017. The event is aimed at providing a platform for knowledge exchange of the most recent scientific and technological advances and to strengthen the links in the scientific community.
FSDM 2015 and FSDM 2016 were held in Shanghai and Macau successively. With emphasis on Fuzzy Theory, algorithm and System, Fuzzy Application, Data Mining and Interdisciplinary field of Fuzzy Logic and Data Mining, FSDM 2017 will feature Plenary Sessions, Symposia, Oral Communications and Poster Sessions.
On behalf of the organizing committee, we cordially invite scientists, experts as well as scholars to participate in the event.
See you in NDHU, Taiwan in November 2017!
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
11月24日
2017
11月27日
2017
初稿截稿日期
注册截止日期
2016年12月11日 中国 澳门
第二届模糊系统与数据挖掘国际学术会议
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