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Supported by Saga University, the 5th International Conference on Fuzzy Systems and Data Mining (FSDM2019) will be held during October 18-21, 2019 in conjunction with the 9th International Conference on Electronics, Communications and Networks (CECNet2019) at Kitakyushu International Conference Center, Kitakyushu City, Japan. The annual event is aimed at providing a platform for knowledge exchange of the most recent scientific and technological advances in the fields of Fuzzy Systems and Data Mining, to strengthen the links in the scientific community.
FSDM2018, FSDM2017, FSDM2016 and FSDM2015 were held smoothly in Bangkok, Taiwan, Macau and Shanghai successively. With emphasis on Fuzzy Theory, algorithm and System, Fuzzy Application, Data Mining and Interdisciplinary field of Fuzzy Logic and Data Mining, FSDM2019 will feature plenary session, including keynote speeches, invited speeches, oral presentations and poster presentations.
Kitakyushu, located on the northern tip of Kyushu Island, it is the second largest city in terms of population on this island. With views over the Sea of Japan and the Seto Inland Sea, and with forty percent of the city's area comprised of rich forest, it is a city blessed with an abundance of nature. It has many notable attractions include Kokura Castle, the port town of Mojiko Retro, the Hiraodai Limestone Plateau (one of the three major karst plateaus of Japan), and many leisure facilities. Kitakyushu City also has a vast menu of appetizing dishes, such as Kokura beef, and Yaki-udon, as well as many other delicacies harvested from the mountains and sea.
On behalf of the organizing committee, we cordially invite scientists, experts as well as scholars all over the world to participate in FSDM2019 in Kitakyushu City, Japan!
Researchers and practitioners are encouraged to submit original, unpublished contributions via the Online Submission System. The topics of interest include but are not limited to:
1. 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
2. Fuzzy Application:
Fuzzy techniques for big data
Fuzzy time series
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
3. 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
Applications in economic and statistic issues
4. Data Mining:
Big data
Massive data mining
Data stream mining
Time series
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
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