Handbook of graphs and networks in people analytics, Mcnulty, Keith
Автор: Pyne Название: Big Data Analytics ISBN: 8132236262 ISBN-13(EAN): 9788132236269 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Svolba, Gerhard Название: Data preparation for analytics using sas ISBN: 1599940477 ISBN-13(EAN): 9781599940472 Издательство: Неизвестно Рейтинг: Цена: 116420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more
Автор: Svolba Gerhard Название: Data Preparation for Analytics Using SAS ISBN: 1642953113 ISBN-13(EAN): 9781642953114 Издательство: Неизвестно Рейтинг: Цена: 150750.00 T Наличие на складе: Невозможна поставка. Описание: Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more
Автор: Mcnulty, Keith Название: Handbook of graphs and networks in people analytics ISBN: 1032211245 ISBN-13(EAN): 9781032211244 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book proceeds to give in-depth technical instruction on how to construct and store graphs from data, how to visualize those graphs compellingly and how to convert common data structures into graph-friendly form.
Автор: Chapman Chris, Feit Elea McDonnell Название: R for Marketing Research and Analytics ISBN: 3030143155 ISBN-13(EAN): 9783030143152 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The 2nd edition of R for Marketing Research and Analytics continues to be the best place to learn R for marketing research. This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis.Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.The 2nd edition increases the book’s utility for students and instructors with the inclusion of exercises and classroom slides. At the same time, it retains all of the features that make it a vital resource for practitioners: non-mathematical exposition, examples modeled on real world marketing problems, intuitive guidance on research methods, and immediately applicable code.
Автор: Upadhyay Название: CABology: Value of Cloud, Analytics and Big Data Trio Wave ISBN: 9811086745 ISBN-13(EAN): 9789811086748 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This uniquely accessible book helps readers use CABology to solve real-world business problems and drive real competitive advantage. It offers business of all sizes a structured and comprehensive way of discovering the real benefits, usage and operationalization aspects of utilizing the Trio Wave.
Автор: Wolfgang Karl H?rdle; Henry Horng-Shing Lu; Xiaoto Название: Handbook of Big Data Analytics ISBN: 3319182838 ISBN-13(EAN): 9783319182834 Издательство: Springer Рейтинг: Цена: 260870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: A Ohri Название: R for Business Analytics ISBN: 1493942395 ISBN-13(EAN): 9781493942398 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book examines common tasks performed by business analysts and helps the reader navigate the wealth of information in R and its 4000 packages to create useful analytics applications. Includes interviews with corporate users of R, and easy-to-use examples.
Автор: Ledolter Johannes Название: Data Mining and Business Analytics with R ISBN: 111844714X ISBN-13(EAN): 9781118447147 Издательство: Wiley Рейтинг: Цена: 115050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Aanderud Tricia, Collum Rob, Kumpfmiller Ryan Название: An Introduction to SAS Visual Analytics: How to Explore Numbers, Design Reports, and Gain Insight into Your Data ISBN: 1642955000 ISBN-13(EAN): 9781642955002 Издательство: Неизвестно Рейтинг: Цена: 95580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: When it comes to business intelligence and analytical capabilities, SAS Visual Analytics is the premier solution for data discovery, visualization, and reporting. An Introduction to SAS Visual Analytics will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code - unless you want to You will be able to use SAS Visual Analytics to access, prepare, and present your data to anyone anywhere in the world.
SAS Visual Analytics automatically highlights key relationships, outliers, clusters, trends and more. These abilities will guide you to critical insights that inspire action from your data. With this book, you will become proficient using SAS Visual Analytics to present data and results in customizable, robust visualizations, as well as guided analyses through auto-charting. With interactive dashboards, charts, and reports, you will create visualizations which convey clear and actionable insights for any size and type of data.
This book largely focuses on the version of SAS Visual Analytics on SAS 9.4, although it is available on both 9.4 and SAS Viya platforms. Each version is considered the latest release, with subsequent releases planned to continue on each platform; hence, the Viya version works similarly to the 9.4 version and will look familiar. This book covers new features of each and important differences between the two.
With this book, you will learn how to:
Build your first report using the SAS Visual Analytics Designer
Prepare a dashboard and determine the best layout
Effectively use geo-spatial objects to add location analytics to reports
Understand and use the elements of data visualizations
Prepare and load your data with the SAS Visual Analytics Data Builder
Analyze data with a variety of options, including forecasting, word clouds, heat maps, correlation matrix, and more
Understand administration activities to keep SAS Visual Analytics humming along
Optimize your environment for considerations such as scalability, availability, and efficiency between components of your SAS software deployment and data providers
Автор: De Ville Barry, Neville Padraic Название: Decision Trees for Analytics Using SAS Enterprise Miner ISBN: 164295313X ISBN-13(EAN): 9781642953138 Издательство: Неизвестно Рейтинг: Цена: 102930.00 T Наличие на складе: Невозможна поставка. Описание: Decision Trees for Analytics Using SAS Enterprise Miner is the most comprehensive treatment of decision tree theory, use, and applications available in one easy-to-access place. This book illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements data mining approaches such as regression, as well as other business intelligence applications that incorporate tabular reports, OLAP, or multidimensional cubes.
An expanded and enhanced release of Decision Trees for Business Intelligence and Data Mining Using SAS Enterprise Miner, this book adds up-to-date treatments of boosting and high-performance forest approaches and rule induction. There is a dedicated section on the most recent findings related to bias reduction in variable selection. It provides an exhaustive treatment of the end-to-end process of decision tree construction and the respective considerations and algorithms, and it includes discussions of key issues in decision tree practice.
Analysts who have an introductory understanding of data mining and who are looking for a more advanced, in-depth look at the theory and methods of a decision tree approach to business intelligence and data mining will benefit from this book.
Автор: Chapman, Christopher N. Feit, Elea Mcdonnell Название: R for marketing research and analytics ISBN: 3319144359 ISBN-13(EAN): 9783319144351 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Water fascinating in all its phases, forms and states of aggregation. Without it, life as we know it would not exist on Earth, for as Paracelsus stated in the 16th century water is the matrix of the world and of all its creatures. While it may appear to be a simple molecule, there is still much about it which is not fully understood. What is notably lacking is a microscopically-based understanding of the reasons for the many anomalous properties of water.This book presents lectures from the Enrico Fermi summer school Water fundamentals as the basis for understanding the environment and promoting technology held in Varenna,
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