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Data Science - Analytics and Applications
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Data Science - Analytics and Applications : Proceedings of the 6th Interdisciplinary Data Science Conference - iDSC2025

Book Details

Format Paperback / Softback
ISBN-10 3032132320
ISBN-13 9783032132321
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 1st, 2026
Print length 240 Pages
Ksh 18,000.00
Not Yet Published 0 in stock

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Based on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for innovation, problem solutions, and business transformation. Data, whether structured or unstructured, numerical, textual, or audiovisual, put in context with other data or analyzed and processed by smart algorithms, are the basis for intelligent concepts and practical solutions. These solutions address many application areas such as Industry 4.0, the Internet of Things (IoT), smart cities, smart energy generation, and distribution, and environmental management. Innovation dynamics and business opportunities for effective solutions for the essential societal, environmental, or health challenges, are enabled and driven by modern data science approaches. The iDSC is designed as a conference with a dual approach: By bringing together the latest findings in research and science, as well as innovative implementation examples in business and industry, the conference is aimed at reflecting the current scientific breakthroughs and application expertise, as a means of stimulating shared professional discourse. The iDSC realizes this approach via its Research & Science track, the Application & Use Cases track, as well as interactive workshops. In addition, iDSC is striving to provide a PhD colloquium, enabling young researchers to exchange with senior faculty, industry experts, as well as other fellow students. All these activities are complemented with exciting keynotes and panels, providing international exchange and the discussion of current and next-gen trends in the domain of data science.

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