Linked Data Visualization: Techniques, Tools, and Big Data, Federico Desimoni, George Papastefanatos, Laura Po, Nikos Bikakis
Автор: Nikolaos Konstantinou; Dimitrios-Emmanuel Spanos Название: Materializing the Web of Linked Data ISBN: 3319160737 ISBN-13(EAN): 9783319160733 Издательство: Springer Рейтинг: Цена: 13974.00 р. 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: 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) Рейтинг: Цена: 38669.00 р. 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.
Описание: This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes.
Описание: Big data analytics utilizes a wide range of software and analytical tools to provide immediate, relevant information for efficient decision-making. Companies are recognizing the immense potential of BDA, but ensuring the data is appropriate and error-free is the largest hurdle in implementing BDA applications.The Handbook of Research on Organizational Transformations through Big Data Analytics not only catalogues the existing platforms and technologies, it explores new trends within the field of big data analytics (BDA). Containing new and existing research materials and insights on the various approaches to BDA; this publication is intended for researchers, IT professionals, and CIOs interested in the best ways to implement BDA applications and technologies.
Автор: by Laura Po; Nikos Bikakis; Federico Desimoni Название: Linked Data Visualization ISBN: 1681737256 ISBN-13(EAN): 9781681737256 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 8039.00 р. 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: 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) Рейтинг: Цена: 4389.00 р. 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: Celebi Numan Название: Intelligent Techniques for Data Analysis in Diverse Settings ISBN: 1522500758 ISBN-13(EAN): 9781522500759 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. 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.
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.
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.
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.
Автор: Feldman Moran Название: Algorithms For Big Data ISBN: 981120473X ISBN-13(EAN): 9789811204739 Издательство: World Scientific Publishing Рейтинг: Цена: 21384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a comprehensive overview of the fascinating world of such algorithms.
To achieve these goals, the algorithmic results presented have been carefully chosen so that they demonstrate the important techniques and tools used in Big Data algorithms, and yet do not require tedious calculations or a very deep mathematical background.
Название: Application of big data and business analytics ISBN: 1800438850 ISBN-13(EAN): 9781800438859 Издательство: Emerald Рейтинг: Цена: 16870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Application of Big Data and Business Analytics uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.
With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. With this in mind, Application of Big Data and Business Analytics brings together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.
The primary target audience of this book includes researchers, academicians and data scientists from a variety of disciplines interested in analyzing and application of big data analytics. However, this work will also be of general interest to postgraduates and undergraduates pursuing advanced study in big data.
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