株式会社極東書店トップ商品一覧Innovations in Data Analytics: Selected Papers of ICIDA 2025, Volume 2.

商品詳細

Innovations in Data Analytics: Selected Papers of ICIDA 2025, Volume 2.

Innovations in Data Analytics: Selected Papers of ICIDA 2025, Volume 2.

・ISBN 978-3-032-27844-9 paper EUR 249.99

¥66,821.- (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Bhattacharya, Abhishek / Dutta, Soumi / Samanta, Debabrata / Dutta, Paramartha (eds.),
シリーズ (Lecture Notes in Networks and Systems)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2026
ページ数481 pp.
言語ENG
ニュース番号<A05-69901>

解説

This book presents a curated collection of peer-reviewed research papers from the 4th International Conference on Innovations in Data Analytics (ICIDA 2025), held at Eminent College of Management & Technology (ECMT), India, in collaboration with the International Knowledge Research Foundation, on 5-6 December 2025. The conference served as a dynamic platform for academicians, researchers, and industry professionals to exchange ideas and showcase advancements in the rapidly evolving domains of data analytics and intelligent systems.
In today's data-driven world, the integration of Data Mining, Machine Learning, and Information Security has become essential for extracting meaningful insights and ensuring the protection of sensitive information. This book highlights cutting-edge research that addresses contemporary challenges in handling large-scale data, developing intelligent computational models, and securing digital infrastructures.
This book encompasses a wide spectrum of topics, including Artificial Intelligence, Data Analytics, Internet of Things (IoT), Information Security, and emerging trends in computing and communication technologies. The book reflects both theoretical innovations and practical applications, offering valuable insights for researchers, practitioners, and students alike.
By bringing together high-quality work from diverse domains, this book aims to foster interdisciplinary research and contribute to the advancement of knowledge in data analytics and its allied fields.