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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges


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About the Book

Rough Sets and Rule Induction from Indiscernibility Relations Based on Possible World Semantics in Incomplete Information Systems with Continuous Domains.- Big Data Analytics and Preprocessing.- Artificial Intelligence-based Plant Diseases Classification.- Artificial Intelligence in Potato Leaf Disease Classification: A Deep Learning Approach.- Granules-Based Rough Set Theory for Circuit Breaker Fault Diagnosis.- SQL Injection Attacks Detection and Prevention based on Neuro-Fuzzy Technique.- Convolutional Neural Network with Batch Normalization for Classification of Endoscopic Gastrointestinal Diseases.- A Chaotic Search-Enhanced Genetic Algorithm for Bilevel Programming Problems.- Bio-Inspired Machine Learning Mechanism for Detecting Malicious URL through Passive DNS in Big Data Platform.- Target Analytical: A Text Analytics Framework for Ranking Therapeutic Molecules in the Bibliome.- Earthquakes and Thermal Anomalies in a Remote Sensing Perspective.- Literature Review with Study and Analysis of the Quality Challenges of Recommendation Techniques and their Application in Movie Ratings.- Predicting Student Retention Among a Homogeneous Population using Data Mining.- An Approach for Textual Based Clustering Using Word Embedding.- A Survey on Speckle Noise Reduction in SAR Images.- Comparative Analysis of Different Approaches to Human Activity Recognition based on Accelerometer Signals.- Soil Morphology based on Deep Learning, Polynomial Learning and Gabor Teager-Kaiser Energy Operators.- Deep Layer Convolutional Neural Network (CNN) Architecture for Breast Cancer Classification Using Histopathological Images.- A survey on Deep Learning for Time-Series Forecasting.- Deep Learning for Taxonomic Classification of Biological Bacterial Sequences.- Particle Swarm Optimization and Grey Wolf Optimizer to Solve Continuous p-Median Location Problems.- Gene Ontology Analysis of Gene Expression Data Using Hybridized PSO Triclustering (HSPO-TriC) Model.- Experimental Studies of Variations Reduction in Chemometric Model Transfer for FT-NIR Miniaturized Sensors.- Smart Environments Concepts, Applications, and Challenges.- Synonym Multi-Keyword Search over Encrypted Data Using Hierarchical Bloom Filters Index.- Assessing the Performance of E-government Services through Multi-Criteria Analysis: The Case of Egypt.- IoTIwC: IoT Industrial Wireless Controller.- Applying Software Defined Network Concepts for Securing the Client data signals over the Optical Transport Network of Egypt.- Watermarking 3D printing Data Based on Coyote Optimization Algorithm.- A 3D Geolocation Analysis of an RF Emitter Source with Two RF Sensors Based on Time and Angle of Arrival.


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Product Details
  • ISBN-13: 9783030593377
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 648
  • Series Title: Studies in Big Data
  • Weight: 1146 gr
  • ISBN-10: 3030593371
  • Publisher Date: 15 Dec 2020
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 37 mm
  • Width: 156 mm


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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
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