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Data Analytics in Digital Humanities, Shalin Hai-Jew


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Автор: Shalin Hai-Jew
Название:  Data Analytics in Digital Humanities
ISBN: 9783319854083
Издательство: Springer
Классификация:



ISBN-10: 3319854089
Обложка/Формат: Soft cover
Страницы: 295
Вес: 0.49 кг.
Дата издания: 2018
Серия: Multimedia Systems and Applications
Язык: English
Издание: Softcover reprint of
Иллюстрации: 23 illustrations, color; 14 illustrations, black and white; xxii, 295 p. 37 illus., 23 illus. in color.
Размер: 234 x 156 x 17
Читательская аудитория: General (us: trade)
Ключевые слова: Information Systems and Communication Service
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation.

Data Analytics in Digital Humanities

Автор: Shalin Hai-Jew
Название: Data Analytics in Digital Humanities
ISBN: 3319544985 ISBN-13(EAN): 9783319544984
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation.

Digital Signal Processing: Theory and Practice

Автор: Rao K. Deergha, Swamy M. N. S.
Название: Digital Signal Processing: Theory and Practice
ISBN: 9811080801 ISBN-13(EAN): 9789811080807
Издательство: Springer
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Цена: 65210.00 T
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Описание:

The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples for easy understanding of the topics, it also includes MATLAB-based examples with codes in order to encourage the readers to become more confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and programmable DSP processors. In addition to problems that require analytical solutions, it discusses problems that require solutions using MATLAB at the end of each chapter.
Divided into 13 chapters, it addresses many emerging topics, which are not typically found in advanced texts on DSP. It includes a chapter on adaptive digital filters used in the signal processing problems for faster acceptable results in the presence of changing environments and changing system requirements. Moreover, it offers an overview of wavelets, enabling readers to easily understand the basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which is an area of growing interest for researchers. A valuable resource for undergraduate and graduate students, it can also be used for self-study by researchers, practicing engineers and scientists in electronics, communications, and computer engineering as well as for teaching one- to two-semester courses.

Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age

Автор: Kevin D. Ashley
Название: Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age
ISBN: 1107171504 ISBN-13(EAN): 9781107171503
Издательство: Cambridge Academ
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Цена: 117210.00 T
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Описание: The field of artificial intelligence (AI) and the law is on the cusp of a revolution. This book - designed to explain computational processes to non-programmers - describes how text analytic programs will change the practice of law, specifically by connecting computational models of legal reasoning directly with legal text.

Big Data Analytics for Sensor-Network Collected Intelligence

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.

It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.

In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS


  • Contains contributions from noted scholars in computer science and electrical engineering from around the globe
  • Provides a broad overview of recent developments in sensor collected intelligence
  • Edited by a team comprised of leading thinkers in big data analytics

Big Data Analytics: A Management Perspective

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.

Big Data Analytics and Knowledge Discovery

Автор: Madria
Название: Big Data Analytics and Knowledge Discovery
ISBN: 3319439456 ISBN-13(EAN): 9783319439457
Издательство: Springer
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Цена: 54040.00 T
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Описание: The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data Learning and Security, Graph Databases and Data Warehousing, Data Intelligence and Technology.

Multimedia data mining and analytics

Название: Multimedia data mining and analytics
ISBN: 3319149970 ISBN-13(EAN): 9783319149974
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multimedia Data Mining and Analytics

Data Management and Analytics for Medicine and Healthcare

Автор: Fusheng Wang; Lixia Yao; Gang Luo
Название: Data Management and Analytics for Medicine and Healthcare
ISBN: 3319577409 ISBN-13(EAN): 9783319577401
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016.

Semantics, Analytics, Visualization. Enhancing Scholarly Data

Автор: Alejandra Gonz?lez-Beltr?n; Francesco Osborne; Sil
Название: Semantics, Analytics, Visualization. Enhancing Scholarly Data
ISBN: 3319536362 ISBN-13(EAN): 9783319536361
Издательство: Springer
Рейтинг:
Цена: 39130.00 T
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Описание: This book constitutes the refereed proceedings of the Second International Workshop on Semantics, Analytics, Visualization,- Enhancing Scholarly Data,- SAVE-SD 2016, held in Montreal, QC, Canada, in April 2016.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Автор: Nilanjan Dey; Aboul Ella Hassanien; Chintan Bhatt;
Название: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
ISBN: 3319604341 ISBN-13(EAN): 9783319604343
Издательство: Springer
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Цена: 204970.00 T
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Описание:

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.

Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people's imaginations as to what a fully connected world can offer.

Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions.

The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.


Distributed Computing in Big Data Analytics

Автор: Sourav Mazumder; Robin Singh Bhadoria; Ganesh Chan
Название: Distributed Computing in Big Data Analytics
ISBN: 3319598333 ISBN-13(EAN): 9783319598338
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics.

Big Data and Visual Analytics

Автор: Sang C. Suh; Thomas Anthony
Название: Big Data and Visual Analytics
ISBN: 3319639153 ISBN-13(EAN): 9783319639154
Издательство: Springer
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Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics.

Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics.

This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.



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