Overview
- Describes real-life solutions using big data analytics
- Focuses on LexisNexis’ platform and its solutions to big data
- Covers wide-ranging applications such as security, fraud, and machine learning
- Includes supplementary material: sn.pub/extras
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Table of contents (15 chapters)
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Big Data Technologies
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LexisNexis Risk Solution to Big Data
Keywords
- Big data technologies
- Big data applications
- HPCC systems
- Big data analytics
- Big data components
- Visualization of big data
- Models of big data
- Social network analytics
- ECL language
- Big data software
- Machine learning techniques
- Deep learning techniques
- Data security and privacy
- Data intensive supercomputing
About this book
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.
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Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Big Data Technologies and Applications
Authors: Borko Furht, Flavio Villanustre
DOI: https://doi.org/10.1007/978-3-319-44550-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-44548-9Published: 26 September 2016
Softcover ISBN: 978-3-319-83077-3Published: 15 June 2018
eBook ISBN: 978-3-319-44550-2Published: 16 September 2016
Edition Number: 1
Number of Pages: XVIII, 400
Number of Illustrations: 118 b/w illustrations
Topics: Information Systems and Communication Service, Software Engineering, Mathematical Applications in Computer Science