Title	Emerging Technologies in Data Mining and Information Security [electronic resource] : Proceedings of IEMIS 2018, Volume 1 / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta
Imprint	Singapore : Springer Singapore : Imprint: Springer, 2019
Edition	1st ed. 2019
Connect to	https://doi.org/10.1007/978-981-13-1951-8
Descript	XXVIII, 861 p. 433 illus., 220 illus. in color. online resource

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

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