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Data Science and Big Data Analytics : Proceedings of IDBA 2025, Volume 1 / edited by Durgesh Mishra, Xin She Yang, Aynur Unal, Dharm Singh Jat.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Mishra, Durgesh.
- Series:
- Learning and Analytics in Intelligent Systems, 2662-3455 ; 55
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Quantitative research.
- Data protection.
- Computational Intelligence.
- Data Analysis and Big Data.
- Data and Information Security.
- Local Subjects:
- Computational Intelligence.
- Data Analysis and Big Data.
- Data and Information Security.
- Physical Description:
- 1 online resource (696 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This book features high-quality research papers presented at the Fifth International Conference on Data Science and Big Data Analytics (IDBA 2025), organized by Symbiosis University of Applied Sciences, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 27–28, 2025. This book discusses topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks. .
- Contents:
- Reversed Fusion Architecture Based on Spiking Neural Networks (RFSNN): For Dynamic Image Dataset Recognition
- Design and Implementation of Object Component Segmentation Algorithm Based on Improved PointNet++
- Application of the BERT and TextCNN Fusion Model in Chinese Sentiment Classification
- Legal Risks and Regulatory Paths of Generative Artificial Intelligence for Artificial Intelligence Technology
- Image Generation and Style Transfer Model Based on Generative Adversarial Network.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-05377-3
- 9783032053770
- OCLC:
- 1569120316
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