Big Data: Algorithms, Analytics, and Applications

Overview

Data are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the findings to make meaningful decisions. Containing contributions from leading experts in their respective fields, this book bridges the gap between the vastness of big data and the appropriate computational methods for scientific and social discovery. It also explores related applications in diverse sectors, covering ...

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Overview

Data are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the findings to make meaningful decisions. Containing contributions from leading experts in their respective fields, this book bridges the gap between the vastness of big data and the appropriate computational methods for scientific and social discovery. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, SaaS, and more.

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Table of Contents

Big Data Capture

Big Data Representation

Database vs. Big Table (or Key-Value Pair)

Storage for Big Data

Big Data Sharing and Transferring

Big Data Processing Architecture

Big Data Analytic Algorithms

Cluster Analysis

Pattern Recognition

Machine Learning

Data/Text/Image Mining

Statistics

Big Data Visualization

Big Data Applications

Bioinformatics

Multimedia Industry

Social Computing

Engineering

Finance

Governance and Business

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