Innovations in Data Analytics, Kartoniert / Broschiert
Innovations in Data Analytics
- Selected Papers of ICIDA 2025, Volume 2
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- Herausgeber:
- Abhishek Bhattacharya, Debabrata Samanta, Paramartha Dutta, Soumi Dutta
- Verlag:
- Springer Nature Switzerland AG, 07/2026
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032278449
- Artikelnummer:
- 12765487
- Erscheinungstermin:
- 15.7.2026
- Serie:
- Lecture Notes in Networks and Systems
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Innovations in Data Analytics |
Preis |
|---|---|
| Buch, Kartoniert / Broschiert, Englisch | EUR 324,82* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 324,82* |
Klappentext
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.