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Big Data Analytics, Pyne


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Цена: 15372.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Pyne
Название:  Big Data Analytics
ISBN: 9788132236269
Издательство: Springer
Классификация:




ISBN-10: 8132236262
Обложка/Формат: Hardback
Страницы: 276
Вес: 0.60 кг.
Дата издания: 2016
Язык: English
Издание: 1st ed. 2016
Иллюстрации: 67 illustrations, black and white; xii, 276 p. 67 illus.
Размер: 234 x 156 x 18
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Подзаголовок: Methods and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Дополнительное описание: Chapter 1. Introduction: The Promises and Challenges of Big Data Analytics.- Chapter 2. Massive Data Analysis: Tasks, Tools, Applications and Challenges.- Chapter 3. Statistical Challenges with Big Data in Management Science.- Chapter 4. Application of Mi



Harness Oil and Gas Big Data with Analytics

Автор: Holdaway Keith
Название: Harness Oil and Gas Big Data with Analytics
ISBN: 1118779312 ISBN-13(EAN): 9781118779316
Издательство: Wiley
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Цена: 9108.00 р.
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Описание: Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry.

Cloud Infrastructures For Big Data Analytics

Автор: Raj & Chandra Deka
Название: Cloud Infrastructures For Big Data Analytics
ISBN: 1466658649 ISBN-13(EAN): 9781466658646
Издательство: Mare Nostrum (Eurospan)
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Цена: 50312.00 р.
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Описание: Clouds are being positioned as the next-generation consolidated, centralised, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional, applications and services.Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organisations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

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.
Data Mining and Business Analytics with R

Автор: Ledolter Johannes
Название: Data Mining and Business Analytics with R
ISBN: 111844714X ISBN-13(EAN): 9781118447147
Издательство: Wiley
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Цена: 17258.00 р.
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Описание: Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets.

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Автор: Walter W. Piegorsch
Название: Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
ISBN: 111903065X ISBN-13(EAN): 9781119030652
Издательство: Wiley
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Цена: 2685.00 р.
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Описание: Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery.

Data Mining and Predictive Analytics

Автор: Larose Daniel T
Название: Data Mining and Predictive Analytics
ISBN: 1118116194 ISBN-13(EAN): 9781118116197
Издательство: Wiley
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Цена: 18842.00 р.
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Описание: Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.

Social Media Data Mining and Analytics

Автор: Szabo Gabor, Boykin Oscar
Название: Social Media Data Mining and Analytics
ISBN: 1118824857 ISBN-13(EAN): 9781118824856
Издательство: Wiley
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Цена: 5542.00 р.
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Описание: Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Written by Dr.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection

Автор: Baesens Bart, Verbeke Wouter, Van Vlasselaer Veron
Название: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection
ISBN: 1119133122 ISBN-13(EAN): 9781119133124
Издательство: Wiley
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Цена: 6178.00 р.
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Описание: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution.

The Data and Analytics Playbook

Автор: Lowell Fryman
Название: The Data and Analytics Playbook
ISBN: 0128023074 ISBN-13(EAN): 9780128023075
Издательство: Elsevier Science
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Цена: 7409.00 р.
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Описание:

The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration.

The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.

In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
Рейтинг:
Цена: 17741.00 р.
Наличие на складе: Поставка под заказ.

Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.


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