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Big Data, Calheiros, Rodrigo N.


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Цена: 10610.00р.
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Автор: Calheiros, Rodrigo N.
Название:  Big Data
ISBN: 9780128053942
Издательство: Elsevier Science
Классификация:


ISBN-10: 0128053941
Обложка/Формат: Paperback
Страницы: 352
Вес: 0.98 кг.
Дата издания: 09.06.2016
Язык: English
Размер: 193 x 236 x 29
Подзаголовок: Principles and paradigms
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications.

To help realize Big Datas full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.




Learning Spark: Lightning-Fast Big Data Analytics

Автор: Hamstra Mark, Zaharia Matei
Название: Learning Spark: Lightning-Fast Big Data Analytics
ISBN: 1449358624 ISBN-13(EAN): 9781449358624
Издательство: Wiley
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Цена: 5067.00 р.
Наличие на складе: Поставка под заказ.

Описание: Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.

Data Mining: Concepts and Techniques,

Автор: Jiawei Han
Название: Data Mining: Concepts and Techniques,
ISBN: 0123814790 ISBN-13(EAN): 9780123814791
Издательство: Elsevier Science
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Цена: 9720.00 р.
Наличие на складе: Поставка под заказ.

Описание: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.

Data Mining and Knowledge Discovery for Big Data

Автор: Chu Wesley W.
Название: Data Mining and Knowledge Discovery for Big Data
ISBN: 3642408362 ISBN-13(EAN): 9783642408366
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book address topics ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Computational and Statistical Methods for Analysing Big Data with

Автор: Shen Liu
Название: Computational and Statistical Methods for Analysing Big Data with
ISBN: 0128037326 ISBN-13(EAN): 9780128037324
Издательство: Elsevier Science
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Цена: 11620.00 р.
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Описание:

Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration.

"Computational and Statistical Methods for Analysing Big Data with Applications" starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data.

Advanced computational and statistical methodologies for analysing big data are developed.

Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable.

Case studies are discussed to demonstrate the implementation of the developed methods.

Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation.

Computing code/programs are provided where appropriate.

Big Data and Ethics

Автор: Jerome Beranger
Название: Big Data and Ethics
ISBN: 1785480251 ISBN-13(EAN): 9781785480256
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание:

Faced with the exponential development of Big Data and both its legal and economic repercussions, we are still slightly in the dark concerning the use of digital information. In the perpetual balance between confidentiality and transparency, this data will lead us to call into question how we understand certain paradigms, such as the Hippocratic Oath in medicine. As a consequence, a reflection on the study of the risks associated with the ethical issues surrounding the design and manipulation of this "massive data" seems to be essential. This book provides a direction and ethical value to these significant volumes of data. It proposes an ethical analysis model and recommendations to better keep this data in check. This empirical and ethico-technical approach brings together the first aspects of a moral framework directed toward thought, conscience and the responsibility of citizens concerned by the use of data of a personal nature.


  • Defines Big Data applications in health
  • Presents the ethical value of the medical datasphere via the description of a model of an ethical analysis of Big Data
  • Provides the recommendations and steps necessary for successful management and governance of personal health data
  • Helps readers determine what conditions are essential for the development of the study of Big Data
Big Data Analytics,

Автор: David Loshin
Название: Big Data Analytics,
ISBN: 0124173195 ISBN-13(EAN): 9780124173194
Издательство: Elsevier Science
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Цена: 4041.00 р.
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Описание: A short guide for managers to introduce big data technology to their organizations and change the culture and expectations around information management.

Big Data Revolution: What Farmers, Doctors, and Insurance Agents Can Teach Us about Patterns in Big Data

Автор: Thomas Rob
Название: Big Data Revolution: What Farmers, Doctors, and Insurance Agents Can Teach Us about Patterns in Big Data
ISBN: 1118943716 ISBN-13(EAN): 9781118943717
Издательство: Wiley
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Цена: 3010.00 р.
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Описание: Exploit the power and potential of Big Data to revolutionize business outcomes Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data.

Statistics for Big Data for Dummies

Автор: Consumer Dummies, Anderson Alan
Название: Statistics for Big Data for Dummies
ISBN: 1118940016 ISBN-13(EAN): 9781118940013
Издательство: Wiley
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Цена: 2691.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Does the subject of data analysis make you dizzy? This book features introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages. It helps you to identify valid, useful, and understandable patterns in data.

From Big Data to Smart Data

Автор: Iafrate Fernando
Название: From Big Data to Smart Data
ISBN: 1848217552 ISBN-13(EAN): 9781848217553
Издательство: Wiley
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Цена: 22010.00 р.
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Описание: A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time).

Big Data at Work

Автор: Tonidandel Scott
Название: Big Data at Work
ISBN: 1848725825 ISBN-13(EAN): 9781848725829
Издательство: Taylor&Francis
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Цена: 10104.00 р.
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Описание: The amount of data in our world has been exploding, and analyzing large data sets?so called big data?will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

Big Data MBA

Автор: Schmarzo Bill
Название: Big Data MBA
ISBN: 1119181119 ISBN-13(EAN): 9781119181118
Издательство: Wiley
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Цена: 5069.00 р.
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Описание: Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage.


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