In conjunction with the 25th Anniversary of IIZUKA’94, the first Soft Computing we welcome you to participate in The Fifth International Conference on Soft Computing in Data Science (SCDS) 2019 that will be held in Centre of Iizuka Research and Development, Japan from 28-29 August 2019. With the advancement in computer technology, data science plays an important role in various disciplines including bio-informatics, medical and health informatics, social sciences, manufacturing, economics, business and finance. SCDS2019 aims to provide a platform for discussions on leading edge methods and also addressing challenges, problems and issues in soft computing in data science and analytics. The role of soft computing in data science is significantly increasing in every field from engineering to life sciences and with advanced computer technology, solutions for complex real problems can be simplified. For the advancement of society in the 21st century, there is a need to transfer knowledge and technology to industrial applications to solve real-world problems. SCDS2019 have invited renowned international and local keynote speakers who are academia or practitioners to share their knowledge and experience in the area of soft computing in data science.
SCDS2019 is also supported by FLSI (Fuzzy Logic Systems Institute).
SCDS2019 aims to attract researchers who are actively engaged both in theoretical and practical aspects of soft computing in data science. Authors are invited to contribute to the conference by submitting articles in the following areas, but are not limited to:
Computing Areas
- Big Data Analytics
- Big Data Technologies
- Decision Tree Learning
- Association Rule Learning
- Artificial Neural Networks
- Support Vector Machines
- Reinforcement Learning
- Clustering
- Bayesian models and methods
- Genetic algorithms
- Data Representation and Visualization
- Data Mining
- Fuzzy Logic
- Optimization Algorithms
- Graph/Network/Social Mining
- Image Classification
- Pattern Recognition
- Computational Intelligence
- Creative Computing
Applications include but are not limited to the following areas:
- Robotics
- Business Analytics
- Bioinformatics
- Information Analytics
- Marketing Analytics
- Operations Analytics
- Text and Sentiment analysis
- Healthcare Analytics
- Customer Analytics
- Financial Analytics
- Talent Analytics
- Social Media Analytics