Machine learning and big data analyt...
Hassanien, Aboul Ella.

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  • Machine learning and big data analytics paradigms = analysis, applications and challenges /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Machine learning and big data analytics paradigms/ edited by Aboul Ella Hassanien, Ashraf Darwish.
    Reminder of title: analysis, applications and challenges /
    other author: Hassanien, Aboul Ella.
    Published: Cham :Springer International Publishing : : 2021.,
    Description: xi, 648 p. :ill., digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Machine learning. -
    Online resource: https://doi.org/10.1007/978-3-030-59338-4
    ISBN: 9783030593384
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