From Big Data to Intelligent Data: An Applied Perspective, Harfoush Fady A.

Автор: Kavita Taneja, Harmunish Taneja
Название: Data science and innovations for intelligent systems :
ISBN: 0367676273 ISBN-13(EAN): 9780367676278
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.

Автор: Bembenik
Название: Intelligent Methods and Big Data in Industrial Applications
ISBN: 3319776037 ISBN-13(EAN): 9783319776033
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Автор: Corea Francesco
Название: Big Data Analytics: A Management Perspective
ISBN: 3319817868 ISBN-13(EAN): 9783319817866
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is about innovation, big data, and data science seen from a business perspective. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next.

Автор: Ilkyeong Moon; Gyu M. Lee; Jinwoo Park; Dimitris K
Название: Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing
ISBN: 3030076237 ISBN-13(EAN): 9783030076238
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Поставка под заказ.
Описание: The two-volume set IFIP AICT 535 and 536 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2018, held in Seoul, South Korea, in August 2018.The 129 revised full papers presented were carefully reviewed and selected from 149 submissions. They are organized in the following topical sections: lean and green manufacturing; operations management in engineer-to-order manufacturing; product-service systems, customer-driven innovation and value co-creation; collaborative networks; smart production for mass customization; global supply chain management; knowledge based production planning and control; knowledge based engineering; intelligent diagnostics and maintenance solutions for smart manufacturing; service engineering based on smart manufacturing capabilities; smart city interoperability and cross-platform implementation; manufacturing performance management in smart factories; industry 4.0 - digital twin; industry 4.0 - smart factory; and industry 4.0 - collaborative cyber-physical production and human systems.

Автор: by M Berthold; Christian Borgelt
Название: Guide to Intelligent Data Science
ISBN: 3030455734 ISBN-13(EAN): 9783030455736
Издательство: Springer
Рейтинг:
Цена: 53100.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring;

Автор: Corea
Название: Big Data Analytics: A Management Perspective
ISBN: 3319389912 ISBN-13(EAN): 9783319389912
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.

Автор: Househ
Название: Big Data, Big Challenges: A Healthcare Perspective
ISBN: 3030061086 ISBN-13(EAN): 9783030061081
Издательство: Springer
Рейтинг:
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare.

Автор: Robert Bembenik; ?ukasz Skonieczny; Grzegorz Prota
Название: Intelligent Methods and Big Data in Industrial Applications
ISBN: 3030084922 ISBN-13(EAN): 9783030084929
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Автор: Harfoush
Название: From Big Data to Intelligent Data
ISBN: 3030769925 ISBN-13(EAN): 9783030769925
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses many of the gaps in how industry and academia are currently tackling problems associated with big data. The book is intended for readers working in industry who want to expand their knowledge or pursue a related degree, and employs an industry-centered perspective.

Автор: Da Ruan; Guoqing Chen; Etienne E. Kerre; Geert Wet
Название: Intelligent Data Mining
ISBN: 3642065767 ISBN-13(EAN): 9783642065767
Издательство: Springer
Рейтинг:
Цена: 243800.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Intelligent Data Mining - Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications.

Автор: Alex Gammerman
Название: Causal Models and Intelligent Data Management
ISBN: 3642636829 ISBN-13(EAN): 9783642636820
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The need to electronically store, manipulate and analyze large-scale, high-dimensional data sets requires new computational methods. This book presents new intelligent data management methods and tools, including new results from the field of inference.

Автор: Palmatier, Robert W. Martin, Kelly D.
Название: Intelligent marketer`s guide to data privacy
ISBN: 3030037231 ISBN-13(EAN): 9783030037239
Издательство: Springer
Рейтинг:
Цена: 35390.00 T
Наличие на складе: Невозможна поставка.
Описание: Firms are collecting and analyzing customer data at an ever increasing rate in response to evidence that data analytics (precision targeting, improved selling) generates a positive return. Yet efforts often ignore customers’ privacy concerns and feelings of vulnerability with long-term effects on customers’ trust, relationships, and ultimately financial performance. Big data, privacy, and cybersecurity often is relegated to IT and legal teams with minimal regard for customer relationships.This book fills the void by taking a customer-centric approach to privacy. It offers both defensive and offensive marketing-based privacy strategies that strongly position firms in today’s data-intensive landscape. The book also helps managers anticipate future consumer and legislative trends. Drawing from the authors’ own work and extant research, this book offers a compelling guide for building and implementing big data- and privacy-informed business strategies. Specifically, the book:· -Describes the consumer psychology of privacy· -Deconstructs relevant legal and regulatory issues· - Offers defensive privacy strategies· - Describes offensive privacy strategies· Provides an executive summary with the Six Tenets for Effective Privacy MarketingThis book will be useful to managers, students, or the casual reader who is interested in how and why big data and consumer privacy are transforming business. Moving beyond summary privacy insights, the book also offers a detailed and compelling action plan for improving performance by protecting against privacy threats as well as developing and implementing offensive privacy strategy. In the future, many firms will be competing through an integrated, customer-centric big data privacy strategy and this book will guide managers in this journey.