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

by Darwish, Ashraf Hassanien, Aboul-Ella

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This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

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Title Statements

Full title :Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges / edited by Aboul Ella Hassanien, Ashraf Darwish.

Summary

Edition Statements

Publication Date:2021.
Edition:1st ed. 2021

Publication Statements

Publisher(s):Imprint: Springer, Springer International Publishing
Place of Publication:Cham
Language:eng
Publication Date:2021.

The Physical Object

Description:1 online resource (XI, 648 p. 267 illus., 182 illus. in color. :) : online resource.

Edition Identifiers

ISBN:9783030593384, 303059338X, 9783030593377, 3030593371, 9783030593391, 3030593398, 9783030593407, 3030593401
DOI:10.1007/978-3-030-59338-4
oclc:on1253414965
LC Classification:TA345-345.5
Dewey Decimal:620.00285

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 -- …

Subjects

Apprentissage automatique Big data Computational Intelligence Données volumineuses Engineering -- Data processing Ingénierie -- Informatique Intelligence informatique Machine learning