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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.

Contributor(s): Abraham, Ajith (1968-), editor literario | Dutta, Paramartha, editor | Mandal, Jyotsna Kumar, editor | Bhattacharya, Abhishek, editor | Dutta, Soumi, editor | SpringerLink (Online service)
Series: (Advances in Intelligent Systems and Computing, 2194-5357; 755); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2019Description: 1 recurso en línea (XXVIII, 861 páginas) : 433 ilustraciones,220 ilustraciones a color.ISBN: 9789811319518.Subject: Data mining -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Abstract: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9.D343 2019 EB (Browse shelf(Opens below)) Acceso electrónico eBooks26062363
Total holds: 0

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.

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.

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