BOOK SERIES


Chapman & Hall/CRC Big Data Series


About the Series

The Big Data paradigm presents many challenges for scientists from a range of disciplines. New research, tools, and technologies are currently being developed to harness the increasingly large quantities of data being generated within our society. This series aims to present new research and applications in Big Data, along with the computational tools and techniques currently in development. The goal of the series is to publish a broad range of textbooks, reference books, and handbooks that will:

  • Provide introductory and advanced instructional and reference material for students and professionals in the mathematical, statistical, and computational sciences
  • Supply researchers with the latest discoveries and resources they need to advance the field
  • Offer assistance to interdisciplinary researchers and practitioners seeking to learn more about Big Data

The inclusion of concrete examples and applications is highly encouraged. The scope of the series includes, but is not limited to, titles in the areas of social networks, sensor networks, data-centric computing, astronomy, genomics, medical data analytics, large-scale e-commerce, and more. We are willing to consider other relevant topics proposed by potential contributors.

9 Series Titles

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High Performance Computing for Big Data: Methodologies and Applications

High Performance Computing for Big Data: Methodologies and Applications

Forthcoming

Chao Wang
November 06, 2017

High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life...

Big Data Analytics: Tools and Technology for Effective Planning

Big Data Analytics: Tools and Technology for Effective Planning

Forthcoming

Arun K. Somani, Ganesh Chandra Deka
October 27, 2017

This book discusses various aspects of Big Data Analytics. It deliberates upon the tools, technology, applications, use cases and research directions in the field. Chapters are contributed by researchers, scientist and practitioners from various reputed universities and organizations for the...

Frontiers in Data Science

Frontiers in Data Science

Forthcoming

Matthias Dehmer, Frank Emmert-Streib
October 12, 2017

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation...

Big Data Management and Processing

Big Data Management and Processing

Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya
May 25, 2017

From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and...

Big Data Computing: A Guide for Business and Technology Managers

Big Data Computing: A Guide for Business and Technology Managers

Vivek Kale
December 01, 2016

This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It...

Big Data in Complex and Social Networks

Big Data in Complex and Social Networks

My T. Thai, Weili Wu, Hui Xiong
November 08, 2016

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the...

Big Data of Complex Networks

Big Data of Complex Networks

Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl, Andreas Holzinger
August 18, 2016

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an...

Networking for Big Data

Networking for Big Data

Shui Yu, Xiaodong Lin, Jelena Misic, Xuemin (Sherman) Shen
August 03, 2015

Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is...

Big Data: Algorithms, Analytics, and Applications

Big Data: Algorithms, Analytics, and Applications

Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea
February 23, 2015

As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly...

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