株式会社極東書店トップ商品一覧Data Science - Analytics and Applications: Proceedings of the 6th Interdisciplinary Data Science Conference - iDSC2025.

商品詳細

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

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

・ISBN 978-3-032-13232-1 paper EUR 109.99

¥29,399.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者Haber, Peter / Lampoltshammer, Thomas J. / Mayr, Manfred (eds.),
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2026
ページ数240 pp.
言語ENG
ニュース番号<A05-5875>

解説

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.