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Thick big data, Jemielniak, Dariusz (full Professor Of Management, Full Professor Of Management, Kozminski University)


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Цена: 5463.00р.
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При оформлении заказа до: 2025-08-04
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Автор: Jemielniak, Dariusz (full Professor Of Management, Full Professor Of Management, Kozminski University)
Название:  Thick big data
ISBN: 9780198839712
Издательство: Oxford Academ
Классификация:



ISBN-10: 0198839715
Обложка/Формат: Paperback
Страницы: 208
Вес: 0.26 кг.
Дата издания: 06.02.2020
Язык: English
Размер: 249 x 217 x 12
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: Doing digital social sciences
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Thick Big Data presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. These tools are critical for students and researchers in the social sciences to successfully build mixed-methods approaches.


Data visualization and statistical literacy for open and big data /

Автор: Theodosia Prodromou
Название: Data visualization and statistical literacy for open and big data /
ISBN: 1522525122 ISBN-13(EAN): 9781522525127
Издательство: Turpin
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Цена: 30307.00 р.
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Описание: Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations.Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.

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: 15159.00 р.
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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
Little Bites of Big Data: How Policy Makers Use Data

Автор: Kettle Donald F.
Название: Little Bites of Big Data: How Policy Makers Use Data
ISBN: 1506383521 ISBN-13(EAN): 9781506383521
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Little Bites of Big Data for Public Policy brings to life the quest to make better policy with better evidence. This brief book frames the big puzzles and, through lively stories and clear examples, provides a valuable how-to guide for producing analysis that works—that speaks persuasively to policy makers, in the language they can best hear, on the problems for which they most need answers. Author Donald F. Kettl brings together the cutting-edge streams of data analytics and data visualization to frame the big puzzles and find ways to make the pieces fit together. By taking little bites of a wide variety of useful data, and then by analyzing it in ways that decision makers will find most helpful, analysts can be much more effective in shaping solutions to the most important problems governments face. 

Big Data for Managers

Автор: Malviya
Название: Big Data for Managers
ISBN: 1138593087 ISBN-13(EAN): 9781138593084
Издательство: Taylor&Francis
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Цена: 7654.00 р.
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Описание: This book develops a simple framework and a non-technical approach to help the reader understand, digest and analyse data, and produce meaningful analytics to take informed decisions. It will support value creation within businesses, from customer care to product innovation, from sales and marketing to operational performance.

Big Data for Managers

Автор: Malviya
Название: Big Data for Managers
ISBN: 1138593060 ISBN-13(EAN): 9781138593060
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: This book develops a simple framework and a non-technical approach to help the reader understand, digest and analyse data, and produce meaningful analytics to take informed decisions. It will support value creation within businesses, from customer care to product innovation, from sales and marketing to operational performance.

Modern Technologies for Big Data Classification and Clustering

Автор: Seetha Hari, Murty M. Narasimha, Tripathy B. K.
Название: Modern Technologies for Big Data Classification and Clustering
ISBN: 1522528059 ISBN-13(EAN): 9781522528050
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
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Описание: Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage.Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.Topics Covered:The many academic areas covered in this publication include, but are not limited to:Data visualizationDistributed Computing SystemsOpinion MiningPrivacy and securityRisk analysisSocial Network AnalysisText Data AnalyticsWeb Data Analytics

Big Data Analytics in HIV/AIDS Research

Автор: Ali Al Mazari
Название: Big Data Analytics in HIV/AIDS Research
ISBN: 152253203X ISBN-13(EAN): 9781522532033
Издательство: Mare Nostrum (Eurospan)
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Цена: 26961.00 р.
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Описание: Provides emerging research on the development and implementation of computational techniques in big data analysis for biological and medical practices. While highlighting topics such as deep learning, management software, and molecular modeling, this publication explores the various applications of data analysis in clinical decision making.

Data Analytics and Big Data

Автор: Soraya Sedkaoui
Название: Data Analytics and Big Data
ISBN: 1786303264 ISBN-13(EAN): 9781786303264
Издательство: Wiley
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Цена: 22010.00 р.
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Описание: The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software.

Big data for qualitative research

Автор: Mills, Kathy A. (australian Catholic University, Australia)
Название: Big data for qualitative research
ISBN: 0367173816 ISBN-13(EAN): 9780367173814
Издательство: Taylor&Francis
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Цена: 8726.00 р.
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Описание: This critical and concise volume introduces the qualitative researcher to key concepts in Big Data. It outlines the threats and potentials of the big data trend for the future of research fields, including those that use small-scale data.

Big Data Processing Using Spark in Cloud

Автор: Mittal
Название: Big Data Processing Using Spark in Cloud
ISBN: 9811305498 ISBN-13(EAN): 9789811305498
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The book describes the emergence of big data technologies and the role of Spark in the entire big data stack.

Big Data for Remote Sensing: Visualization, Analysis and Interpretation

Автор: Dey
Название: Big Data for Remote Sensing: Visualization, Analysis and Interpretation
ISBN: 3319899228 ISBN-13(EAN): 9783319899220
Издательство: Springer
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Цена: 20962.00 р.
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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.

Applying Big Data Analytics in Bioinformatics and Medicine

Автор: Lytras Miltiadis D., Papadopoulou Paraskevi
Название: Applying Big Data Analytics in Bioinformatics and Medicine
ISBN: 1522526072 ISBN-13(EAN): 9781522526070
Издательство: Mare Nostrum (Eurospan)
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Цена: 35759.00 р.
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Описание: Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens. Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.


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