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International Journal of Data Science and Analytics

2016 - 2023
Volumes
58
Issues
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Issue 3/2023
Latest issue

About this journal

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.

Metadata
Title
International Journal of Data Science and Analytics
Coverage
Volume 1/2016 - Volume 16/2023
Publisher
Springer International Publishing
Electronic ISSN
2364-4168
Print ISSN
2364-415X
Journal ID
41060

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