Handbook of Big Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Big Data Analytics write by Wolfgang Karl Härdle. This book was released on 2018-07-20. Handbook of Big Data Analytics available in PDF, EPUB and Kindle. Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.
Research Handbook on Big Data Law
Research Handbook on Big Data Law - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Research Handbook on Big Data Law write by Roland Vogl. This book was released on 2021-05-28. Research Handbook on Big Data Law available in PDF, EPUB and Kindle. This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.
Handbook of Big Data Analytics
Handbook of Big Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Big Data Analytics write by Vadlamani Ravi. This book was released on 2021-07-09. Handbook of Big Data Analytics available in PDF, EPUB and Kindle. This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.
Handbook of Big Data
Handbook of Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Big Data write by Peter Bühlmann. This book was released on 2016-02-22. Handbook of Big Data available in PDF, EPUB and Kindle. Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical
Handbook of Big Data Privacy
Handbook of Big Data Privacy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Big Data Privacy write by Kim-Kwang Raymond Choo. This book was released on 2020-03-18. Handbook of Big Data Privacy available in PDF, EPUB and Kindle. This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.
