Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2018, Volume 1
Título:
Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2018, Volume 1
ISBN:
9789811319518
Edición:
1st ed. 2019.
PRODUCTION_INFO:
Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
Descripción física:
XXVIII, 861 p. 433 illus., 220 illus. in color. online resource.
Serie:
Advances in Intelligent Systems and Computing, 755
Contenido:
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.
Síntesis:
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.
Autor corporativo añadido:
Idioma:
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