Автор: S. Srinivasan Название: Guide to Big Data Applications ISBN: 3319538160 ISBN-13(EAN): 9783319538167 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.
Автор: Mohammad Moshirpour; Behrouz Far; Reda Alhajj Название: Highlighting the Importance of Big Data Management and Analysis for Various Applications ISBN: 3319602543 ISBN-13(EAN): 9783319602547 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business.
Автор: Thomas Hoeren; Barbara Kolany-Raiser Название: Big Data in Context ISBN: 3319624601 ISBN-13(EAN): 9783319624600 Издательство: Springer Рейтинг: Цена: 18630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is open access under a CC BY 4.0 license.This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ's Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.All contributions are based on papers submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the societal aspects of big data and funded by the German Federal Ministry of Education and Research.This volume was produced as a part of the ABIDA project (Assessing Big Data, 01IS15016A-F). ABIDA is a four-year collaborative project funded by the Federal Ministry of Education and Research. However the views and opinions expressed in this book reflect only the authors' point of view and not necessarily those of all members of the ABIDA project or the Federal Ministry of Education and Research.
Автор: Cerquitelli, Tania, Quercia, Daniele, Pasquale, Frank (Eds.) Название: Transparent data mining for big and small data. ISBN: 3319540238 ISBN-13(EAN): 9783319540238 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions.
Автор: Maria Cristina Paganoni Название: Framing Big Data: A Linguistic and Discursive Approach ISBN: 3030167879 ISBN-13(EAN): 9783030167875 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses big data as a socio-technical construct with huge potential for innovation in key sectors such as healthcare, government and business.
Автор: Baesens Bart Название: Analytics in a big data world ISBN: 1118892704 ISBN-13(EAN): 9781118892701 Издательство: Wiley Рейтинг: Цена: 41190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior.
Автор: Weisheng Lu, Chi Cheung Lai Название: BIM and Big Data for Construction Cost Management ISBN: 0815390947 ISBN-13(EAN): 9780815390947 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a highly valuable guide for people in a wide range of construction project management and quantity surveying roles. In addition, implications for project management, facilities management, contract administration and dispute resolution are also explored through the case studies making this book essential for reading for built environment and engineering professionals.
Автор: Bungartz Hans-Joachim, Kranzlmuller Dieter, Weinbe Название: Advances and New Trends in Environmental Informatics: Managing Disruption, Big Data and Open Science ISBN: 3319996533 ISBN-13(EAN): 9783319996530 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It addresses a wide range of cross-cutting activities, such as efficient computing, virtual reality, disruption management, big data, open science and the internet of things, and showcases how these green information & communication technologies (ICT) can be used to effectively address environmental and societal challenges.
Автор: Choi Dongseok, Jang Daeheung, Lai Tze Leung Название: Proceedings of the Pacific Rim Statistical Conference for Production Engineering: Big Data, Production Engineering and Statistics ISBN: 9811081670 ISBN-13(EAN): 9789811081675 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016.
Автор: Sergei Petrenko Название: Big data technologies for monitoring of computer security : ISBN: 3319790358 ISBN-13(EAN): 9783319790350 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an early-warning cybersecurity system for critically important governmental information assets. Using the work being done in Russia on new information security systems as a case study, the book shares valuable insights gained during the process of designing and constructing open segment prototypes of this system.
Most books on cybersecurity focus solely on the technical aspects. But Big Data Technologies for Monitoring of Computer Security demonstrates that military and political considerations should be included as well.
With a broad market including architects and research engineers in the field of information security, as well as managers of corporate and state structures, including Chief Information Officers of domestic automation services (CIO) and chief information security officers (CISO), this book can also be used as a case study in university courses.
Автор: Mittal Название: Big Data Processing Using Spark in Cloud ISBN: 9811305498 ISBN-13(EAN): 9789811305498 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book describes the emergence of big data technologies and the role of Spark in the entire big data stack.
Автор: S. Srinivasan Название: Guide to Big Data Applications ISBN: 3319852493 ISBN-13(EAN): 9783319852492 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.
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