图书简介

1. Introduction to Big Data Analytics Introduction A Wider Variety of Data Types and Sources of Big Data Characteristics of Big Data Data Property Types Big Data Analytics Big Data Analytics Tools with Their Key Features Techniques of Big Data Analysis 2. Pre-Processing Methods Data Mining: Need for Preprocessing Pre-Processing Methods Challenges of Big Data Streams in Preprocessing Pre-Processing Methods 3. Feature Selection Methods and Algorithms Feature Selection Methods Types of Fs Swarm Intelligence in Big Data Analytics Particle Swarm Optimization (PSO) Bat Algorithm (BA) Genetic Algorithms Ant Colony Optimization (ACO) Artificial Bee Colony Algorithm (ABC) Cuckoo Search Algorithm Firefly Algorithm Grey Wolf Optimization Algorithm (GWO) Dragonfly Algorithm (DA) Whale Optimization Algorithm (WOA) 4. Big Data Streams Introduction Stream Processing Benefits of Stream Processing Streaming Analytics Real-Time Big Data Processing Lifecycle Streaming Data Architecture Modern Streaming Architecture The Future of Streaming Data in 2021 and Beyond Big Data and Stream Processing Framework for Parallelization on Big Data 5. Big Data Classification Classification in Big Data and Challenges Machine Learning (ML) Incremental Learning for Big Data Streams Ensemble Algorithms Deep Learning Algorithms Deep Neural Networks Categories of Deep Learning Algorithms 6. Case Studies Introduction Health Care Analytics: Overview Big Data Analytics Health Care Systems Healthcare Companies Implementing A

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