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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2025, Volume 1 / edited by Saptarsi Goswami, Sajal Saha, Romit S Beed, Kanadpriya Basu.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Goswami, Saptarsi.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1370
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Engineering--Data processing.
- Engineering.
- Big data.
- Computational Intelligence.
- Data Engineering.
- Big Data.
- Local Subjects:
- Computational Intelligence.
- Data Engineering.
- Big Data.
- Physical Description:
- 1 online resource (502 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 9th International Conference on Data Management, Analytics and Innovation (ICDMAI 2025), held during 17–19 January 2025 at St. Xavier’s College (Autonomous), Kolkata, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into three volumes.
- Contents:
- Chapter 1: Clustering-based Multivariate Prediction Model for Infectious Disease Forecasting in India
- Chapter 2: HyGen – A Hybrid Automation Testing Approach for reducing hallucination in LLM based applications
- Chapter 3: Chaotic-Wasserstein GAN Based Adversarial Defense
- Chapter 4: Machine Learning Approach for Sound Vibration Prediction Using Sensor-Based Technologies
- Chapter 5: Offensive Text Detection: Exploring Traditional Classifiers, Ensemble Models, and Kolmogorov Arnold Networks in Code-Mixed Tamil-English Text
- Chapter 6: Towards Autonomous Deep Learning: Comparative Analysis of AI-Generated and AI-Evaluated Code Using LLMs for Computer Vision Tasks
- Chapter 7: An Empirical Evaluation for LLMs Performance on AI Question & Answer in Bengali
- Chapter 8: Wikipedia-Savvy-RAG: A Lightweight Retrieval-Augmented Generation System for STEM Question Answering
- Chapter 9: Genre Based Movie Recommendation System to Improve Efficiency using LSTM Method
- Chapter 10:Recommendation Framework for Generative AI-Assisted Software Development.-.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9665-37-X
- 9789819665372
- OCLC:
- 1564376681
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