Multidimensional Data Visualization

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing!The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the foundation on whi

This Little Data Book presents tables for over 213 economies showing the most recent national data on key indicators of information and communications technology (ICT), including access, quality, affo

Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (twe

@text:The Urban Data Management Society has organised international symposia at various locations throughout Europe since 1971, and UDMS 2013 marks its second visit to London. From its outset, UDMS ha

Data Structures and Algorithm Analysis in C++ is an advanced algorithms book that bridges the gap between traditional CS2 and Algorithms Analysis courses. As the speed and power of computers increa

The Oracle Press Guide to Big Data Analytics using RCowritten by members of the Big Data team at Oracle, this Oracle Press book focuses on analyzing data with R while making it scalable using Oracle’s

Cisco dominates the internetworking hardware market with a more than 80% share of the routers used on the Internet. The Cisco Certified Network Associate Data Center (CCNA) certification is Cisco's ne

Data Analysis for Continuous School Improvement, Third Edition, is a call to action. It is about inspiring schools and school districts to commit to continuous school improvement by providing a framew

How do we come to embody the wisdom of our greatest teachers? Through transmission, the multidimensional exchange of energy on the psychological and spiritual levels on which we relate. Jack Kornfield

Offering an interdisciplinary approach, this guide gives a state-of-the-art presentation of key subjects and theories in political sociology. Comprehensive and multidimensional, this book covers a var

"This book provides an overview of data mining techniques under an ethical lens, investigating developments in research best practices and examining experimental cases to identify potential ethical di

A wide variety of organizations are both creating and retaining digital data from archaeological projects. While current methods for preservation and access to data vary widely, nearly all of these or

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative scie

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes o

Offering a self-contained introduction to data mining, this book presents the concepts, models and techniques for data mining in a well organized style. Both theoretical concepts and, especially, prac

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on

Histochemistry and cytochemistry are important fields for studying the inner workings of cells and tissues of the body. While visualization techniques have been in use for many years, new methods of d

"In conclusion as you come to the end of this book, the concept of a Data Warehouse and its primary goal of serving the enterprise version of truth, and being the single platform for all the source of

Careful analysis of data is becoming more and more critical in business. Across large businesses such as Google, Netflix, and Amazon, large amounts of data are gathered on matters such as customer beh

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer s

This edited volume provides up-to-date, succinct, relevant, and informative discussion about methods of data collection in sociolinguistic research. It covers the main areas of research design, conduc

Evolving from years of teaching experience by one of the top experts in vegetation ecology, "Data Analysis in Vegetation Ecology, 2nd edition" explains the background and basics of mathematical (mainl

Evolving from years of teaching experience by one of the top experts in vegetation ecology, "Data Analysis in Vegetation Ecology, 2nd edition" explains the background and basics of mathematical (mainl

The only Oracle Press guide to MySQL Workbench explains how to design and model MySQL databases. MySQL Workbench Data Modeling and Development helps developers learn how to effectively use this power

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operation

"This book provides an overview of the current and potential approaches towards data storage services and its relationship to cloud environments, bringing together research on storage technologies in

Digital health data are the lifeblood of a continuous learning health system. A steady flow of reliable data is necessary to coordinate and monitor patient care, analyze and improve systems of care, c

Marketing Database Analytics presents a step-by-step process for understanding and interpreting data in order to gain insights to drive business decisions. One of the core elements of measuring market

Marketing Database Analytics presents a step-by-step process for understanding and interpreting data in order to gain insights to drive business decisions. One of the core elements of measuring market

Industry reports indicate that by 2018, there will be a shortage of up to 180,000 analysts in the U.S. for examining "big data" problems. At the same time, emerging academic research shows that organi

"In the second edition of Designer Drafting and Visualization for the Entertainment World, art director Patricia Woodbridge teams up with scenic designer and SCAD professor Hal Tinae to give you a dyn

A biostatistician at the City of Hope National Medical Center in California's Los Angeles County, Li also teaches part time and gives seminars on DATA step programming and statistical analysis using t

We create more data in a day then we did from the dawn of man through 2003 and approximately 90% of all the world's data has been created in the past 2 years. What does this mean to you? In The Big Da

The Little Data Book on Gender 2013 is a quick reference for users interested in gender statistics. It presents gender-disaggregated data for more than 200 countries in a straightforward, country-by-c

Currently many companies are confronted with the decision how to deal with the new data quality requirements of the regulatory authorities. Future data quality statements for enterprise key figures an

This book describes the fundamentals of data acquisition systems, how they enable users to sample signals that measure real physical conditions and convert the resulting samples into digital, numeric

The Little Data Book on Africa 2012/2013 is a pocket edition of Africa Development Indicators 2012/2013. It contains some 115 key indicators on economics, human development, governance, and partnershi

Intelligent data analysis techniques offer powerful solutions to collecting and analyzing vast quantities of environmental and economic data, which lead to better decision making for sustainable devel

This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various metho