In recent years, due to the dramatic spread and progress of sensor networks, cloud computing and social services, varied and enormous quantities of data are being produced and accumulated on networks. Using big data, which is an aggregate of this varied and large quantity of data, and making innovative services and business models has gained a lot of interest from researchers and practitioners around the world. This big data involves numerous technological problems that should be resolved urgently.
Data science is a generic name for the theory of methods and technology for extracting useful knowledge from data, and is an interdisciplinary research field covering numerous fields such as statistics, computer science and machine learning. This study is considered to be an important key in unlocking value from big data. Applications of data science cover a wide range of fields from business and medicine through to agriculture and government, where real world practitioners have great expectations.
This special issue will focus on the methods, technologies and theories, as well as their applications, relating to data science that uses the value from big data. The issue aims to investigate how various approaches to data science obtain value from big data and whether new services can be developed. We expect submitted papers to stimulate new models, approaches and examples of applications, etc. in data science using big data.
Suitable topics include, but are not limited to, the following:
- Cloud/grid computing
- High-performance computing
- Machine learning
- Text and semi-structured data mining
- Knowledge representation
- Statistics and probability
- Service ontologies and modelling
- Operations processes
- Accounting and finance
- Medicine and nursing care
- Public administration
Submission of manuscripts: 14 September, 2015
Notification to authors: 16 November, 2015
Final versions due: 18 January, 2016