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Handbook of Big Data Analytics, Wolfgang Karl H?rdle; Henry Horng-Shing Lu; Xiaoto


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Автор: Wolfgang Karl H?rdle; Henry Horng-Shing Lu; Xiaoto
Название:  Handbook of Big Data Analytics
ISBN: 9783319182834
Издательство: Springer
Классификация:





ISBN-10: 3319182838
Обложка/Формат: Hardcover
Страницы: 600
Вес: 0.94 кг.
Дата издания: 14.02.2018
Серия: Springer Handbooks of Computational Statistics
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 106 tables, color; 109 illustrations, color; 38 illustrations, black and white; viii, 538 p. 147 illus., 109 illus. in color.
Размер: 164 x 242 x 36
Читательская аудитория: Tertiary education (us: college)
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.
Дополнительное описание: Preface.- Statistics, Statisticians, and the Internet of Things (John M. Jordan and Dennis K. J. Lin).- Cognitive Data Analysis for Big Data (Jing Shyr, Jane Chu and Mike Woods).- Statistical Leveraging Methods in Big Data (Xinlian Zhang, Rui Xie and Ping



Handbook of Data Mining and Learning Analytics

Автор: ElAtia Samira
Название: Handbook of Data Mining and Learning Analytics
ISBN: 1118998235 ISBN-13(EAN): 9781118998236
Издательство: Wiley
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Цена: 17258.00 р.
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Описание: Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates.

Big Data Analytics

Автор: Pyne
Название: Big Data Analytics
ISBN: 8132236262 ISBN-13(EAN): 9788132236269
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.

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: 8106.00 р.
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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.

Big Data Analytics in Genomics

Автор: Wong
Название: Big Data Analytics in Genomics
ISBN: 3319412787 ISBN-13(EAN): 9783319412788
Издательство: Springer
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Цена: 23757.00 р.
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Описание:

This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or veterans in the field.
This volume offers thirteen peer-reviewed contributions, written by international leading experts from different regions, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the USA. In particular, the book surveys three main areas: statistical analytics, computational analytics, and cancer genome analytics. Sample topics covered include: statistical methods for integrative analysis of genomic data, computation methods for protein function prediction, and perspectives on machine learning techniques in big data mining of cancer. Self-contained and suitable for graduate students, this book is also designed for bioinformaticians, computational biologists, and researchers in communities ranging from genomics, big data, molecular genetics, data mining, biostatistics, biomedical science, cancer research, medical research, and biology to machine learning and computer science. Readers will find this volume to be an essential read for appreciating the role of big data in genomics, making this an invaluable resource for stimulating further research on the topic.
Big data analytics with spark

Автор: Guller, Mohammed
Название: Big data analytics with spark
ISBN: 1484209656 ISBN-13(EAN): 9781484209653
Издательство: Springer
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Цена: 5309.00 р.
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Описание: Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis.

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: 18167.00 р.
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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.

Decision Support Systems V – Big Data Analytics for Decision Making

Автор: Boris Deliba?i?; Jorge E. Hern?ndez; Jason Papatha
Название: Decision Support Systems V – Big Data Analytics for Decision Making
ISBN: 3319185322 ISBN-13(EAN): 9783319185323
Издательство: Springer
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Цена: 5590.00 р.
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Описание: 'Big Data' Decision Making Use Cases.- The Roles of Big Data in the Decision-Support Process: An Empirical Investigation.- Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda.- Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach.- Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts.- The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case.- A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem.- Decision Support Model for Participatory Management of Water Resource.- Modeling Interactions Among Criteria in MCDM Methods: A Review.

Big Data Analytics and Knowledge Discovery

Автор: Sanjay Madria; Takahiro Hara
Название: Big Data Analytics and Knowledge Discovery
ISBN: 3319227289 ISBN-13(EAN): 9783319227283
Издательство: Springer
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Цена: 7826.00 р.
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Описание: This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, September 2015. The 31 revised full papers presented were carefully reviewed and selected from 90 submissions. data warehouses; applications of big data analysis;

Big Data Analytics and Knowledge Discovery

Автор: Ladjel Bellatreche; Sharma Chakravarthy
Название: Big Data Analytics and Knowledge Discovery
ISBN: 3319642820 ISBN-13(EAN): 9783319642826
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions.

Big Data Analytics

Автор: Naveen Kumar; Vasudha Bhatnagar
Название: Big Data Analytics
ISBN: 3319270567 ISBN-13(EAN): 9783319270562
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the refereedconference proceedings of the Fourth International Conference on Big DataAnalytics, BDA 2015, held in Hyderabad, India, in December 2015. The 9 revised full papers and 9invited papers were carefully reviewed and selected from 61 submissions andcover topics on big data: security and privacy;

Big Data Analytics in the Social and Ubiquitous Context

Автор: Martin Atzmueller; Alvin Chin; Frederik Janssen; I
Название: Big Data Analytics in the Social and Ubiquitous Context
ISBN: 3319290088 ISBN-13(EAN): 9783319290089
Издательство: Springer
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Цена: 5590.00 р.
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Описание:

Using Wikipedia for Cross-language Named Entity Recognition.- On the Predictive Power of Web Intelligence and Social Media.- A Latent Space Analysis of Editor Lifecycles in Wikipedia.- On Spatial Measures of Geographic Relevance for Geotagged Social Media Content.- Formation and Temporal Evolution of Social Groups During Coffee Breaks.- A Habit Detection Algorithm (HDA) for Discovering Recurrent Patterns in Smart Meter Time Series.- RoADS: A road pavement monitoring system for anomaly detection using smart phones.- Mining ticketing logs for usage characterization with nonnegative matrix factorization.- Context-Aware Location Prediction.

Big Data Analytics

Автор: Vasudha Bhatnagar; Srinath Srinivasa
Название: Big Data Analytics
ISBN: 3319036882 ISBN-13(EAN): 9783319036885
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013.


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