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Machine Learning Paradigms 2019
- George A. Tsihrintzis, Dionisios N. Sotiropoulos, Lakhmi C. Jain:
Machine Learning Paradigms - Advances in Data Analytics. Intelligent Systems Reference Library 149, Springer 2019, ISBN 978-3-319-94029-8 - George A. Tsihrintzis, Dionisios N. Sotiropoulos, Lakhmi C. Jain:
Machine Learning Paradigms: Advances in Data Analytics. 1-4
Data Analytics in the Medical, Biological and Signal Sciences
- Danilo Dessì, Diego Reforgiato Recupero, Gianni Fenu, Sergio Consoli:
A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics. 7-30 - Lucio Amelio, Alessia Amelio:
Classification Methods in Image Analysis with a Special Focus on Medical Analytics. 31-69 - Carine Bou Rjeily, Georges Badr, Amir Hajjam El Hassani, Emmanuel Andres:
Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field. 71-99 - Katarzyna Stapor, Irena Roterman-Konieczna, Piotr Fabian:
Machine Learning Methods for the Protein Fold Recognition Problem. 101-127 - Grazina Korvel, Adam Kurowski, Bozena Kostek, Andrzej Czyzewski:
Speech Analytics Based on Machine Learning. 129-157
Data Analytics in Social Studies and Social Interactions
- Christos Troussas, Akrivi Krouska, Maria Virvou:
Trends on Sentiment Analysis over Social Networks: Pre-processing Ramifications, Stand-Alone Classifiers and Ensemble Averaging. 161-186 - Julia Sidorova, Oliver Rosander, Lars Sköld, Håkan Grahn, Lars Lundberg:
Finding a Healthy Equilibrium of Geo-demographic Segments for a Telecom Business: Who Are Malicious Hot-Spotters? 187-196
Data Analytics in Traffic, Computer and Power Networks
- George A. Gravvanis, Athanasios I. Salamanis, Christos K. Filelis-Papadopoulos:
Advanced Parametric Methods for Short-Term Traffic Forecasting in the Era of Big Data. 199-231 - Apostolos P. Leros, Antonios S. Andreatos:
Network Traffic Analytics for Internet Service Providers - Application in Early Prediction of DDoS Attacks. 233-267 - Vasilios P. Androvitsaneas, Konstantinos Boulas, Georgios D. Dounias:
Intelligent Data Analysis in Electric Power Engineering Applications. 269-313
Data Analytics for Digital Forensics
- Konstantinos Karampidis, Ioannis Deligiannis, Giorgos Papadourakis:
Combining Genetic Algorithms and Neural Networks for File Forgery Detection. 317-335
Theoretical Advances and Tools for Data Analytics
- Nikolaos Passalis, Anastasios Tefas:
Deep Learning Analytics. 339-370
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