Edited
By Uttam Ghosh, Danda B Rawat, Raja Datta, Al-Sakib Khan Pathan
May 30, 2022
The main goal of Internet of Things (IoT) is to make secure, reliable, and fully automated smart environments. However, there are many technological challenges in deploying IoT. This includes connectivity and networking, timeliness, power and energy consumption dependability, security and privacy, ...
By Jawwad Ahmed Shamsi, Muhammad Ali Khojaye
July 05, 2021
Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for ...
By Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka
October 24, 2019
Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into...
Edited
By Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang
March 27, 2019
Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data...
Edited
By Arun K. Somani, Ganesh Chandra Deka
November 13, 2017
The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and ...
Edited
By 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 ...
Edited
By Matthias Dehmer, Frank Emmert-Streib
October 30, 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...
Edited
By Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya
May 23, 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 ...
By Vivek Kale
November 24, 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 ...
Edited
By My T. Thai, Weili Wu, Hui Xiong
November 14, 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...
Edited
By Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl, Andreas Holzinger
July 27, 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 ...
Edited
By Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea
February 09, 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 ...
