Big Data Technologies and Applications
Published on 26. September 2016
Book
Hardback
XVIII, 400 pages
978-3-319-44548-9 (ISBN)
Description
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform.
The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies , includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data , focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications , describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification.
The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.
The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies , includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data , focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications , describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification.
The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.
Reviews / Votes
"The book offers a good overview of big data technologies, which keeps a live link between theoretical background and live applications. As such, the text rises up as a starting point for engineers and researchers in the field of big data applications." (Alexander Tzanov, Computing Reviews, June, 2017)More details
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
118 s/w Abbildungen
XVIII, 400 p. 118 illus.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 29 mm
Weight
793 gr
ISBN-13
978-3-319-44548-9 (9783319445489)
DOI
10.1007/978-3-319-44550-2
Schweitzer Classification
Other editions
Additional editions
Borko Furht | Flavio Villanustre
Big Data Technologies and Applications
Book
06/2018
Springer
€139.09
Shipment within 10-15 days
Borko Furht | Flavio Villanustre
Big Data Technologies and Applications
E-Book
09/2016
1st Edition
Springer
€128.39
Available for download
Persons
Dr. Borko Furht is a professor in the Department of Electrical & Computer Engineering and Computer Science at Florida Atlantic University (FAU) in Boca Raton, Florida. He is also Director of the NSF Industry/University Cooperative Research Center on Advanced Knowledge Enablement. Before joining FAU, he was a vice president of research and a senior director of development at Modcomp (Ft. Lauderdale), a computer company of Daimler Benz, Germany, a professor at University of Miami in Coral Gables, Florida, and a senior researcher in the Institute Boris Kidric-Vinca, Yugoslavia. Professor Furht received the Ph.D. degree in electrical and computer engineering from the University of Belgrade. His current research is in multimedia systems, multimedia big data and its applications, 3D video and image systems, wireless multimedia, and Internet and cloud computing. He is presently Principal Investigator and Co-PI of several projects sponsored by NSF and various high-tech companies. He is the author of numerous books and articles in the areas of multimedia, data-intensive applications, computer architecture, real-time computing, and operating systems. He is a founder and editor-in-chief of two journals: Journal of Big Data and Journal of Multimedia Tools and Applications. He has received several technical and publishing awards, and has consulted for many high-tech companies including IBM, Hewlett-Packard, Adobe, Xerox, General Electric, JPL, NASA, Honeywell, and RCA. He has also served as a consultant to various colleges and universities. He has given many invited talks, keynote lectures, seminars, and tutorials. He served on the Board of Directors of several high-tech companies.
333px;">Dr. Flavio Villanustre leads HPCC Systems®, and is also VP, Technology for LexisNexis Risk Solutions®. In this position, he is responsible for Information and Physical Security, overall platform strategy and new product development. Dr. Villanustre is also involved in a number of projects involving Big Data integration, analytics and Business Intelligence. Previously, Dr. Villanustre was Director of Infrastructure for Seisint. Prior to 2001, he served in a variety of roles at different companies including Infrastructure, Information Security and Information Technology. In addition to this, Dr. Villanustre has been involved with the open source community for over 15 years through multiple initiatives. Some of these include founding the first Linux User Group in Buenos Aires (BALUG) in 1994, releasing several pieces of software under different open source licenses, and evangelizing open source to different audiences through conferences, training and education. Prior to his technology career, Dr. Villanustre was a neurosurgeon.
333px;">Dr. Flavio Villanustre leads HPCC Systems®, and is also VP, Technology for LexisNexis Risk Solutions®. In this position, he is responsible for Information and Physical Security, overall platform strategy and new product development. Dr. Villanustre is also involved in a number of projects involving Big Data integration, analytics and Business Intelligence. Previously, Dr. Villanustre was Director of Infrastructure for Seisint. Prior to 2001, he served in a variety of roles at different companies including Infrastructure, Information Security and Information Technology. In addition to this, Dr. Villanustre has been involved with the open source community for over 15 years through multiple initiatives. Some of these include founding the first Linux User Group in Buenos Aires (BALUG) in 1994, releasing several pieces of software under different open source licenses, and evangelizing open source to different audiences through conferences, training and education. Prior to his technology career, Dr. Villanustre was a neurosurgeon.
Content
Introduction to Big Data.- Big Data Analytics.- Transfer Learning Techniques.- Visualizing Big Data.- Deep Learning and Big Data.- The HPCC/ECL Platform for Big Data.- Scalable Automated Linking Technology for Big Data Computing.- Aggregated Data Analysis in HPCC Systems.- Models for Big Data.- Data Intensive Supercomputing Solutions.- Graph Processing with Massive Datasets: A KEL Primer.- HPCC Systems for Cyber Security Analytics.- Social Network Analytics: Hidden and Complex Fraud Schemes.- Modeling Ebola Spread and Using HPCC/KEL System.- Unsupervised Learning and Image Classification in High Performance Computing Cluster.