Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2018, Volume 1 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Abraham, Ajith (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dutta, Paramartha (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mandal, Jyotsna Kumar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bhattacharya, Abhishek (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dutta, Soumi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Advances in Intelligent Systems and Computing, 755
• Θέματα: Computational intelligence.; Artificial intelligence.; Computer security.; Computational Intelligence.; Artificial Intelligence.; Systems and Data Security.

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 acade...

Πίνακας περιεχομένων:

• 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.