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Data Mining and Information Security : Proceedings of ICDMIS 2024, Volume 2 / edited by Abhishek Bhattacharya, Soumi Dutta, Md Abdur Razzak, Debabrata Samanta.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1386
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Data mining.
- Data protection.
- Computational Intelligence.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Data and Information Security.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Data and Information Security.
- Physical Description:
- 1 online resource (XVIII, 645 p. 251 illus., 225 illus. in color.)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2024) held at Eminent College of Management and Technology (ECMT), West Bengal, India, during October 7–8, 2024. The book is organized in five volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.
- Contents:
- Transformative Effects of Artificial Intelligence on Military Technology and Strategy
- A LSTM based Deep Learning Framework for Proactive Defense FinTech Security
- Personalized Medicine Recommendation through Genomics AI
- LSTM-GRU: Stocks Prediction using Hybrid Machine Learning Algorithms
- Meta-Learning Based System for the Early Diagnosis of Rare Glioblastoma Diseases: A Comprehensive Analysis.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9660-53-X
- 9789819660537
- OCLC:
- 1545128089
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