Sharing Economy and Big Data Analytics, Soraya Sedkaoui, Mounia Khelfaoui
Автор: Grigsby Mike Название: Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques ISBN: 0749482168 ISBN-13(EAN): 9780749482169 Издательство: Неизвестно Рейтинг: Цена: 42230.00 T Наличие на складе: Невозможна поставка. Описание: Understand how to apply marketing science techniques fearlessly, to improve consumer insights and compete more effectively in the marketplace.
Автор: Sang C. Suh; Thomas Anthony Название: Big Data and Visual Analytics ISBN: 3319639153 ISBN-13(EAN): 9783319639154 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Рейтинг: Цена: 37270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Рейтинг: Цена: 37270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Prajapati, Vignesh Название: Big data analytics with r and hadoop ISBN: 178216328X ISBN-13(EAN): 9781782163282 Издательство: Неизвестно Рейтинг: Цена: 45970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential.
About This Book
Write Hadoop MapReduce within R
Learn data analytics with R and the Hadoop platform
Handle HDFS data within R
Understand Hadoop streaming with R
Encode and enrich datasets into R
In Detail
Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing.
Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop.
You will start with the installation and configuration of R and Hadoop. Next, you will discover information on various practical data analytics examples with R and Hadoop. Finally, you will learn how to import/export from various data sources to R. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming.
What You Will Learn
Integrate R and Hadoop via RHIPE, RHadoop, and Hadoop streaming
Develop and run a MapReduce application that runs with R and Hadoop
Handle HDFS data from within R using RHIPE and RHadoop
Run Hadoop streaming and MapReduce with R
Import and export from various data sources to R
Автор: Richard D. Cramer Название: When Big Data Was Small: My Life in Baseball Analytics and Drug Design ISBN: 1496212053 ISBN-13(EAN): 9781496212054 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 24200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Richard D. Cramer has been doing baseball analytics for just about as long as anyone alive, even before the term “sabermetrics” existed. He started analyzing baseball statistics as a hobby in the mid-1960s, not long after graduating from Harvard and MIT. He was a research scientist for SmithKline and in his spare time used his work computer to test his theories about baseball statistics. One of his earliest discoveries was that clutch hitting—then one of the most sacred pieces of received wisdom in the game—didn’t really exist. In When Big Data Was Small Cramer recounts his life and remarkable contributions to baseball knowledge.
In 1971 Cramer learned about the Society for American Baseball Research (SABR) and began working with Pete Palmer, whose statistical work is credited with providing the foundation on which SABR is built. Cramer cofounded STATS Inc. and began working with the Houston Astros, Oakland A’s, Yankees, and White Sox, with the help of his new Apple II computer.
Yet for Cramer baseball was always a side interest, even if a very intense one for most of the last forty years. His main occupation, which involved other “big data” activities, was that of a chemist who pioneered the use of specialized analytics, often known as computer-aided drug discovery, to help guide the development of pharmaceutical drugs. After a decade-long hiatus, Cramer returned to baseball analytics in 2004 and has done important work with Retrosheet since then. When Big Data Was Small is the story of the earliest days of baseball analytics and computer-aided drug discovery.
Автор: Stimmel Carol L. Название: Big Data Analytics Strategies for the Smart Grid ISBN: 1482218283 ISBN-13(EAN): 9781482218282 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.
Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market. The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls. Discussing security and data privacy, it explores the role of the utility in protecting their customers' right to privacy while still engaging in forward-looking business practices. The book includes discussions of:
SAS for asset management tools
The AutoGrid approach to commercial analytics
Space-Time Insight's work at the California ISO (CAISO)
This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs.
At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to better understand the nuances of the engineering and business challenges unique to the utilities industry.
Автор: Sara Moridpour Название: Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities ISBN: 1522579435 ISBN-13(EAN): 9781522579434 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 160770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods.Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.
Автор: ?loi Boss? And Basel Solaiman Название: Information Fusion And Analytics For Big Data And Iot ISBN: 1630810878 ISBN-13(EAN): 9781630810870 Издательство: Artech House Рейтинг: Цена: 176170.00 T Наличие на складе: Нет в наличии. Описание: The Internet of Things (IoT) and Big Data are hot topics in the world of intelligence operations and information gathering. This first-of-its-kind volume reveals the benefits of addressing these topics with the integration of Fusion of Information and Analytics Technologies (FIAT). The book explains how FIAT is materialized into decision support systems that are capable of supporting the prognosis, diagnosis, and prescriptive tasks within complex systems and organizations.This unique resource offers keen insight into how complex systems emerge from the interrelation of social and cognitive information, cyber and physical worlds, and the various models of decision-making and situational awareness. Practitioners also discover the central notions of analytics and information fusion. Moreover the book introduces propos such as integration through a FIAT computational model and applications at the systems level. This book concludes with a list of prospective research activities that can contribute towards the required FIAT integration for critical application domains such as: energy, health, transport and defense and security.
Автор: Vincenzo Morabito Название: Big Data and Analytics ISBN: 3319106643 ISBN-13(EAN): 9783319106649 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars.
Автор: Madria Название: Big Data Analytics and Knowledge Discovery ISBN: 3319439456 ISBN-13(EAN): 9783319439457 Издательство: Springer Рейтинг: Цена: 54040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Naveen Kumar; Vasudha Bhatnagar Название: Big Data Analytics ISBN: 3319270567 ISBN-13(EAN): 9783319270562 Издательство: Springer Рейтинг: Цена: 44720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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;
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