Big Data Analytics: A Management Perspective, Corea Francesco

Автор: Corea
Название: Big Data Analytics: A Management Perspective
ISBN: 3319389912 ISBN-13(EAN): 9783319389912
Издательство: Springer
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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: Sujatha R., Aarthy S. L., Vettriselvan R.
Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
ISBN: 0367466635 ISBN-13(EAN): 9780367466633
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.

Автор: Satpathy Rabinarayan, Choudhury Tanupriya, Satpathy Suneeta
Название: Data Analytics in Bioinformatics: A Machine Learning Perspective
ISBN: 1119785537 ISBN-13(EAN): 9781119785538
Издательство: Wiley
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Цена: 193190.00 T
Наличие на складе: Поставка под заказ.
Описание: Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

Автор: Khan Mohammad Ayoub, Algarni Fahad, Quasim Mohammad Tabrez
Название: Smart Cities: A Data Analytics Perspective
ISBN: 3030609219 ISBN-13(EAN): 9783030609214
Издательство: Springer
Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data.

Автор: Khan Mohammad Ayoub, Algarni Fahad, Quasim Mohammad Tabrez
Название: Smart Cities: A Data Analytics Perspective
ISBN: 3030609243 ISBN-13(EAN): 9783030609245
Издательство: Springer
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Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data.

Автор: Venkataramani
Название: Smart Secure Systems – IoT and Analytics Perspective
ISBN: 9811076340 ISBN-13(EAN): 9789811076343
Издательство: Springer
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Цена: 46570.00 T
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Описание: This volume constitutes the refereed proceedings of the Second International Conference on Intelligent Information Technologies, ICIIT 2017, held in Chennai, India, in December 2017. The 20 full papers and 7 short papers presented were carefully reviewed and selected from 117 submissions.

Автор: Househ
Название: Big Data, Big Challenges: A Healthcare Perspective
ISBN: 3030061086 ISBN-13(EAN): 9783030061081
Издательство: Springer
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Цена: 149060.00 T
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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: Ryzko Dominik
Название: Modern Big Data Architectures: A Multi-Agent Systems Perspective
ISBN: 1119597846 ISBN-13(EAN): 9781119597841
Издательство: Wiley
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Цена: 52800.00 T
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Описание: Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together.

A multi-agent system (MAS) is a self-organized computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics. This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets.

Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence--enabling next generation systems to be built by incorporating the best aspects of the field. This book: Illustrates how data sets are produced and how they can be utilized in various areas of industry and scienceExplains how to apply common computational models and state-of-the-art architectures to process Big Data tasksDiscusses current and emerging Big Data applications of Artificial Intelligence Modern Big Data Architectures: A Multi-Agent Systems Perspective is a timely and important resource for data science professionals and students involved in Big Data analytics, and machine and artificial learning.

Автор: Harfoush Fady A.
Название: From Big Data to Intelligent Data: An Applied Perspective
ISBN: 3030769895 ISBN-13(EAN): 9783030769895
Издательство: Springer
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Цена: 46570.00 T
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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: Baesens Bart
Название: Analytics in a big data world
ISBN: 1118892704 ISBN-13(EAN): 9781118892701
Издательство: Wiley
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Цена: 41190.00 T
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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: Finlay Steven
Название: Predictive Analytics, Data Mining and Big Data
ISBN: 1137379278 ISBN-13(EAN): 9781137379276
Издательство: Springer
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Цена: 37260.00 T
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Описание: This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Автор: Hsu, Hui-Huang
Название: Big Data Analytics for Sensor-Network Collected Intelligence
ISBN: 0128093935 ISBN-13(EAN): 9780128093931
Издательство: Elsevier Science
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Цена: 101060.00 T
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Описание:

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.