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Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2018, Volume 1 / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta.
Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2019 English International Available online
View online- Format:
- Book
- Series:
- Advances in Intelligent Systems and Computing, 2194-5365 ; 755
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Data protection.
- Computational Intelligence.
- Artificial Intelligence.
- Data and Information Security.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Data and Information Security.
- Physical Description:
- 1 online resource (848 pages) : illustrations.
- Edition:
- 1st ed. 2019.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
- Summary:
- This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises 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:
- Chapter 1: Application of ANN for On-line Monitoring and Security Estimation of Power System
- Chapter 2: Crop Prediction Models – A Review
- Chapter 3: Rainfall Prediction : A Comparative study of Neural Network architectures
- Chapter 4: Prediction of Bacteriophage Protein Locations Using Deep Neural Networks
- Chapter 5: Classification of Phishing Websites using Moth-flame Optimized Neural Network
- Chapter 6: Design and Analysis of Intrusion Detection System via Neural Network, SVM and Neuro fuzzy
- Chapter 7: Grammar-based White-box Testing via Automated Constraint Path Generation.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 981-13-1951-0
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