International Journal of Data Science and Analytics OnlineFirst articles
Über diese Zeitschrift
Data-driven scientific discovery is a key emerging paradigm driving research innovation and industrial development in domains such as business, social science, the Internet of Things, and cloud computing. The field encompasses the larger areas of data analytics, machine learning, and managing big data, while related new scientific challenges range from data capture, creation, storage, search, sharing, analysis, and visualization, to integration across heterogeneous, interdependent complex resources for real-time decision-making, collaboration, and value creation. The journal welcomes experimental and theoretical findings on data science and advanced analytics along with their applications to real-life situations.
- International Journal of Data Science and Analytics
- Springer International Publishing
- Jahrgang 1/2016 - Jahrgang 10/2020
- Print ISSN
- Elektronische ISSN