Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies, Li Yan, Zongmin Ma

Автор: Hu & Kaabouch
Название: Big Data Management, Technologies, And Applications
ISBN: 1466646993 ISBN-13(EAN): 9781466646995
Издательство: Mare Nostrum (Eurospan)
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Цена: 25502.00 р.
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Описание: Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size.Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.

Автор: Bhattacharyya Siddhartha, Bhaumik Hrishikesh, De Sourav
Название: Intelligent Analysis of Multimedia Information
ISBN: 1522504982 ISBN-13(EAN): 9781522504986
Издательство: Mare Nostrum (Eurospan)
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Цена: 32017.00 р.
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Описание: Multimedia represents information in novel and varied formats. One of the most prevalent examples of continuous media is video. Extracting underlying data from these videos can be an arduous task. From video indexing, surveillance, and mining, complex computational applications are required to process this data.Intelligent Analysis of Multimedia Information is a pivotal reference source for the latest scholarly research on the implementation of innovative techniques to a broad spectrum of multimedia applications by presenting emerging methods in continuous media processing and manipulation. This book offers a fresh perspective for students and researchers of information technology, media professionals, and programmers.

Автор: Ning Zhong; Jiming Liu
Название: Intelligent Technologies for Information Analysis
ISBN: 3642073786 ISBN-13(EAN): 9783642073786
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Intelligent Information Technology (iiT) encompasses the theories and ap- plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com- puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par- ticular, advances in agents, data mining, and learning theory, from both the- oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur- vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession- als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in- telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.

Автор: Anupam Agrawal; R.C. Tripathi; Ellen Yi-Luen Do; M
Название: Intelligent Interactive Technologies and Multimedia
ISBN: 364237462X ISBN-13(EAN): 9783642374623
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the Second International Conference on Intelligent Interactive Technologies and Multimedia, IITM 2013, held in Allahabad, India, in March 2013. The 15 revised full papers and the 12 revised short papers were carefully reviewed and selected from more than 90 submissions.

Автор: Wei & Gwo
Название: Modern Library Technologies For Data Storage, Retrieval, And Use
ISBN: 1466629282 ISBN-13(EAN): 9781466629288
Издательство: Mare Nostrum (Eurospan)
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Цена: 25502.00 р.
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Описание: In recent years, libraries have embraced new technologies that organise and store a variety of digital information, such as multimedia databases, digital medical images, and content-based images. <br><br><em>Modern Library Technologies for Data Storage Retrieval, and Use</em> highlights new features of digital library technology in order to educate the database community. By contributing research from case studies on the emerging technology use in libraries, this book is essential for academics and scientists interested in the efforts to understand the applications of data acquisition, retrieval and storage.

Автор: Graham Shawn Et Al
Название: Exploring Big Historical Data: The Historian`S Macroscope
ISBN: 1783266376 ISBN-13(EAN): 9781783266371
Издательство: World Scientific Publishing
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Цена: 5069.00 р.
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Описание: The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines, or designing and using their own tools to process large amounts of information.Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. It represents the current state-of-the-art thinking in the field and exemplifies the way that digital work can enhance public engagement in the humanities.Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings.The companion website to Exploring Big Historical Data can be found at www.themacroscope.org/. On this site you will find code, a discussion forum, essays, and datafiles that accompany this book.

Автор: Graham Shawn Et Al
Название: Exploring Big Historical Data: The Historian`S Macroscope
ISBN: 1783266082 ISBN-13(EAN): 9781783266081
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines, or designing and using their own tools to process large amounts of information.Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. It represents the current state-of-the-art thinking in the field and exemplifies the way that digital work can enhance public engagement in the humanities.Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings.The companion website to Exploring Big Historical Data can be found at www.themacroscope.org/. On this site you will find code, a discussion forum, essays, and datafiles that accompany this book.

Автор: Pennington Diane
Название: Social Tagging for Linking Data Across Environments
ISBN: 1783303387 ISBN-13(EAN): 9781783303380
Издательство: Facet
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Цена: 16368.00 р.
Наличие на складе: Нет в наличии.

Описание: This book, representing researchers and practitioners across different information professions, will explore how social tags can link content across a variety of environments.