Linked Data Visualization: Techniques, Tools, and Big Data, Federico Desimoni, George Papastefanatos, Laura Po, Nikos Bikakis

Название: Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)
ISBN: 9811204446 ISBN-13(EAN): 9789811204449
Издательство: World Scientific Publishing
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Цена: 950400.00 T
Наличие на складе: Невозможна поставка.
Описание: This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.

Автор: by Laura Po; Nikos Bikakis; Federico Desimoni
Название: Linked Data Visualization
ISBN: 1681737256 ISBN-13(EAN): 9781681737256
Издательство: Mare Nostrum (Eurospan)
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Цена: 53590.00 T
Наличие на складе: Нет в наличии.
Описание: Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains.

The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens.

This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios.

The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.

Автор: Nikolaos Konstantinou; Dimitrios-Emmanuel Spanos
Название: Materializing the Web of Linked Data
ISBN: 3319160737 ISBN-13(EAN): 9783319160733
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data.

Автор: Heath Tom, Bizer Christian
Название: Linked Data: Evolving the Web Into a Global Data Space
ISBN: 1608454304 ISBN-13(EAN): 9781608454303
Издательство: Mare Nostrum (Eurospan)
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Цена: 29260.00 T
Наличие на складе: Нет в наличии.
Описание: Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. This title provides readers with a detailed technical introduction to Linked Data.

Автор: Diane Rasmussen Pennington, Louise Spiteri
Название: Social Tagging in a Linked Data Environment
ISBN: 1783303395 ISBN-13(EAN): 9781783303397
Издательство: Facet
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Цена: 218240.00 T
Наличие на складе: Невозможна поставка.
Описание: This book, representing researchers and practitioners across different information professions, will explore how social tags can link content across a variety of environments.

Автор: Richard S. Segall, Neha Gupta, Jeffrey S. Cook
Название: Handbook of Research on Big Data Storage and Visualization Techniques
ISBN: 1522531424 ISBN-13(EAN): 9781522531425
Издательство: Mare Nostrum (Eurospan)
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Цена: 547930.00 T
Наличие на складе: Невозможна поставка.
Описание: The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Автор: Celebi Numan
Название: Intelligent Techniques for Data Analysis in Diverse Settings
ISBN: 1522500758 ISBN-13(EAN): 9781522500759
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other.Intelligent Techniques for Data Analysis in Diverse Settings addresses the specialized requirements of data analysis in a comprehensive way. This title contains a comprehensive overview of the most innovative recent approaches borne from intelligent techniques such as neural networks, rough sets, fuzzy sets, and metaheuristics. Combining new data analysis technologies, applications, emerging trends, and case studies, this publication reviews the intelligent, technological, and organizational aspects of the field. This book is ideally designed for IT professionals and students, data analysis specialists, healthcare providers, and policy makers.

Автор: Veslava Osinska, Grzegorz Osinski
Название: Information Visualization Techniques in the Social Sciences and Humanities
ISBN: 1522549900 ISBN-13(EAN): 9781522549901
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances in emerging technology have allowed for new methods of representing such conceptual data.Information Visualization Techniques in the Social Sciences and Humanities is a critical scholarly resource that examines the application of information visualization in the social sciences and humanities. Featuring coverage on a broad range of topics such as social network analysis, complex systems, and visualization aesthetics, this book is geared towards professionals, students, and researchers seeking current research on information visualization.

Автор: Munish Kumar, Manish Kumar Jindal, Simpel Rani Jindal, R. K. Sharma, Anupam Garg
Название: Feature Extraction and Classification Techniques for Text Recognition
ISBN: 1799824063 ISBN-13(EAN): 9781799824060
Издательство: Mare Nostrum (Eurospan)
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Цена: 257790.00 T
Наличие на складе: Нет в наличии.
Описание: Presents innovative research on the fusion and hybridization of various features and classifiers for document analysis and recognition. The book highlights a range of topics, including adaptive boosting, writer identification, and signature verification.

Автор: Scifo Estelle
Название: Hands-On Graph Analytics with Neo4j: Perform graph processing and visualization techniques using connected data across your enterprise
ISBN: 1839212616 ISBN-13(EAN): 9781839212611
Издательство: Неизвестно
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Цена: 60070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Автор: Grigsby Mike
Название: Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques
ISBN: 0749482168 ISBN-13(EAN): 9780749482169
Издательство: Неизвестно
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Цена: 42230.00 T
Наличие на складе: Невозможна поставка.
Описание: Understand how to apply marketing science techniques fearlessly, to improve consumer insights and compete more effectively in the marketplace.

Автор: Nicole van Deursen
Название: Visual Communication for Cybersecurity: Beyond Awareness to Advocacy
ISBN: 8770220905 ISBN-13(EAN): 9788770220903
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cybersecurity needs a change in communication. It is time to show the world that cybersecurity is an exciting and diverse field to work in. Cybersecurity is not only about hackers and technical gobbledygook. It is a diverse field of work with a lot of collaboration with other disciplines. Over the years, security professionals have tried different awareness strategies to promote their work and to improve the knowledge of their audience but without much success. Communication problems are holding back advances in in the field.

Visual Communication for Cybersecurity explores the possibilities of visual communication as a tool to improve the communication about cybersecurity and to better connect with non-experts. Visual communication is useful to explain complex topics and to solve complex problems. Visual tools are easy to share through social media and have the possibility to reach a wide audience. When applied strategically, visual communication can contribute to a people-centric approach to security, where employees are encouraged to actively engage in security activities rather than simply complying with the policies.

Cybersecurity education does not usually include communication theory or creative skills. Many experts think that it is not part of their job and is best left to the communication department or they think that they lack any creative talent. This book introduces communication theories and models, gives practical tips, and shows many examples. The book can support students in cybersecurity education and professionals searching for alternatives to bullet-point presentations and textual reports. On top of that, if this book succeeds in inspiring the reader to start creating visuals, it may also give the reader the pleasure of seeing new possibilities and improving their performance.

The book is divided into different parts for readers with different interests. There is no need to read the book from cover to cover; the chapters are organized thematically. Readers that are interested in how to apply communication theory to cybersecurity will enjoy the chapters about learning, the context in which communication takes place, and how people are persuaded. Readers that are looking for inspiration and examples of how to use visuals in their daily tasks go straight to the third section of the book. The last section is a workbook that will help the reader to take the first steps towards using visual communication at work.