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Big Data, Sarangi, Saswat , Sharma, Pankaj


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Цена: 22202.00р.
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Автор: Sarangi, Saswat , Sharma, Pankaj
Название:  Big Data
ISBN: 9781138598577
Издательство: Taylor&Francis
Классификация:




ISBN-10: 1138598577
Обложка/Формат: Hardcover
Страницы: 140
Вес: 0.42 кг.
Дата издания: 26.09.2019
Язык: English
Иллюстрации: 1 tables, black and white; 33 line drawings, black and white; 33 illustrations, black and white
Размер: 236 x 160 x 15
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Asian Studies
Подзаголовок: A beginner`s introduction
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terrabytes that will continue to shape our lives in ways imagined and unimagined.


Business Intelligence and Big Data

Автор: Zim?nyi
Название: Business Intelligence and Big Data
ISBN: 3319966545 ISBN-13(EAN): 9783319966540
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes revised tutorial lectures of the 7th European Business Intelligence and Big Data Summer School, eBISS 2017, held in Bruxelles, Belgium, in July 2017.

Big Data Analysis and Deep Learning Applications

Автор: Zin
Название: Big Data Analysis and Deep Learning Applications
ISBN: 9811308683 ISBN-13(EAN): 9789811308680
Издательство: Springer
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Цена: 25155.00 р.
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Описание:

Big data analysis.- Machine learning and applications.- Monitoring system by using image processing.- Conventional neural networks and its applications.- Information and communication.- Industrial information systems and applications.

Modeling and Processing for Next-Generation Big-Data Technologies

Автор: Fatos Xhafa; Leonard Barolli; Admir Barolli; Petra
Название: Modeling and Processing for Next-Generation Big-Data Technologies
ISBN: 331909176X ISBN-13(EAN): 9783319091761
Издательство: Springer
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Цена: 26122.00 р.
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Описание: This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics.

Value of information: intellectual property, privacy and big data

Название: Value of information: intellectual property, privacy and big data
ISBN: 3631750137 ISBN-13(EAN): 9783631750131
Издательство: Peter Lang
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Цена: 9511.00 р.
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Описание:

The right information, at the right time, for the right user has become the most valuable currency of our times. Yet, traditional view on the use of information is being challenged: never before both businesses and users had to deal with the necessity of processing enormous amounts of data, often either privacy-sensitive or covered by intellectual property rights. The law tries to respond – both domestically and internationally – with new rules and novel applications of traditional rules. This book investigates these rules, their rationales, and consequences.

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
Cognitive Computing: Implementing Big Data Machine Learning Solutions

Автор: Hurwitz, Kaufman Marcia, Bowles Adrian
Название: Cognitive Computing: Implementing Big Data Machine Learning Solutions
ISBN: 1118896629 ISBN-13(EAN): 9781118896624
Издательство: Wiley
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Цена: 6018.00 р.
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Описание: A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data.

The Semantic Web: Semantics and Big Data

Автор: Philipp Cimiano; Oscar Corcho; Valentina Presutti;
Название: The Semantic Web: Semantics and Big Data
ISBN: 3642382878 ISBN-13(EAN): 9783642382871
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 10th Extended Semantic Web Conference, ESWC 2013, held in Montpellier, France, in May 2013. mobile Web, sensors and semantic streams; social Web and Web science; cognition and semantic Web; The book also includes 17 PhD papers presented at the PhD Symposium.

Politics and policies of big data

Название: Politics and policies of big data
ISBN: 1138293741 ISBN-13(EAN): 9781138293748
Издательство: Taylor&Francis
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Цена: 18374.00 р.
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Описание: How are we to deal with Big Data? When is it beneficial to us? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance.

Data Mining and Big Data

Автор: Tan
Название: Data Mining and Big Data
ISBN: 3319409727 ISBN-13(EAN): 9783319409726
Издательство: Springer
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Цена: 11179.00 р.
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Описание: The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016. The 57 papers presented in this volume were carefully reviewed and selected from 115 submissions.

Future and Emerging Trends in Language Technology. Machine Learning and Big Data

Автор: Jos? F. Quesada; Mart?n Mateos Francisco-Jes?s; Te
Название: Future and Emerging Trends in Language Technology. Machine Learning and Big Data
ISBN: 3319693646 ISBN-13(EAN): 9783319693644
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in Seville, Spain, in November 2016. The 10 full papers and 5 position papers presented in this volume were carefully reviewed and selected from 18 submissions.

Big data and internet of things

Название: Big data and internet of things
ISBN: 3319050281 ISBN-13(EAN): 9783319050287
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Big Data and Internet of Things: A Roadmap for Smart Environments

Information Granularity, Big Data, and Computational Intelligence

Автор: Witold Pedrycz; Shyi-Ming Chen
Название: Information Granularity, Big Data, and Computational Intelligence
ISBN: 331938161X ISBN-13(EAN): 9783319381619
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Nearest Neighbor Queries on Big Data.- Information Mining for Big Information.- Information Granules Problem: An Efficient Solution of Real-Time Fuzzy Regression Analysis.- How to Understand Connections Based on Big Data: From Cliques to Flexible Granules.- Maintain 'Omics: When e-Maintenance Enters the Big Data Era.- Incrementally Mining Frequent Patterns for Large Database.- Improved Latent Semantic Indexing-based Data Mining Methods and An Application to Big.- The Property of Different Granule and Granular Methods Based on Quotient Space.- Towards An Optimal Task-Driven Information Granulation.- Unified Framework for Construction of Rule Based Classification Systems.- Multi-granular Evaluation Model through Fuzzy Random Regression to Improve Information.- Building Fuzzy Robust Regression Model Based on Granularity and Possibility Distribution.- The Role of Cloud Computing Architectures in Big Data.- Big Data Storage Techniques for Spatial Databases: Implications of Big Data Architecture on Spatial Query Processing.- The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases.- Customer Relationship Management and Big Data Mining.- Performance Competition for ISCIFCM and Application of Computational Intelligence on Analysis of Air Quality Monitoring Big Data.-PEI Models under Uncontrolled Circumstances.- Rough Set Model based Knowledge Acquisition of Market Movements from Economic Data.- Deep Neural Network Modeling for Big Data Weather Forecast.- Current Knowledge and Future Challenge for Visibility Forecasting by Computational Intelligence.- Application of Computational Intelligence on Analysis of Air Quality Monitoring Big Data.


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