Multidimensional Data Visualization

Drawing on over four decades experience in data processing, Brackett examines issues around managing data and architecture for information technology managers. He describes the impact of poor data pra

This book presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex

"Each chapter is... a practice run for the way we all ought to design our data marts and hence our data warehouses."-Ralph Kimball, from the Foreword. Let the experts show you how to customize data w

A textbook on data analysis and econometrics as research tools in the analysis of development issues. Covers the foundations of data analysis, regression and data analysis, analyzing cross-section da

Instructional design theory and practice has evolved over the past 30 years from an initial narrow focus on programmed instruction to a multidimensional field of study integrating psychology, technolo

• In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions.• Students get

A Straightforward, No-Nonsense Guide to Building the Most Accurate, Complete, and Useful Data Models Possible. How do I know if my data model is accurate? When is a model really complete? Is it possib

The revolutionary program that teaches you how to use meditation and visualization to change your life.First published in 1978, The Silva Mind Control Method has helped millions of people create better, happier, and more successful lives. Based on the extraordinary course pioneered by Jose Silva in the 1960s, this accessible guidebook uses meditation and visualization to help you alleviate stress, overcome bad habits and emotional insecurity, increase creativity, develop concentration, harness your dreams, and deepen your relationships. Featuring transformative advice and fascinating case studies, this revolutionary book teaches you to use your mind at a deeper and more effective level and reveal its extraordinary power.

Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now de

Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when cons

The definitive guide for ensuring data privacy and GDPR compliance Privacy regulation is increasingly rigorous around the world and has become a serious concern for senior management of companies rega

Implement a data-driven investment strategyThe investing landscape is increasingly driven by big data and artificial intelligence. For most finance professionals, big data, statistics, and programming

With an emphasis on experimental design and sampling, The Analysis of Ecological Data Using R presents all of the necessary statistical methods along with the ecological background for each problem. E

In this bracing book, the second Secretary of Homeland Security makes clear that personal data has become one of the most valuable assets of the modern age--and yet our laws and policies surrounding t

Taking the time to invest in this book will provide you the knowledge of how to leverage the transformative power of data. This is true of any organization of any size. Data mastery is a super-power a

Rely on Letting Data Lead by Eileen Depka to help you build a culture of school data analysis and interpretation, assessment for learning, and student achievement. This practical resource clearly outl

Effective presentation of analytical results is the key to close a project successfully. With the meteoric rise in the popularity of data science and analytics, business executives focus on analytics’

A guide that offers a step-by-step process to data-driven qualitative multimodal discourse analysis Systematically Working with Multimodal Data is a hands-on guide that is theoretically grounded and o

This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the informa

In the last 20 years, econometric theory on panel data has developed rapidly, particularly for analyzing common behaviors among individuals over time. Meanwhile, the statistical methods employed by ap

This open access book presents an ethical approach to utilizing personal medical data. It features essays that combine academic argument with practical application of ethical principles. The contribut

Qualitative Data Analysis is a classic text that has helped thousands of graduate students since its first publication in 1984. The Fourth Edition’s presentation of the fundamentals of research

Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology,

This book helps students and scholars get started on the exciting journey of using visual data in social research. It covers the many uses a researcher can make of images, from creating images as a pa

This handbook covers the fundamental principles and theory, and the state-of-the-art research, systems and applications, in the area of mobility data privacy. It is primarily addressed to computer sci

Now in its fifth edition, The Practice of Family Therapy comes at a time when traditional approaches to psychotherapy have given way to multidimensional strategies that best serve the needs of diverse

In the contemporary information society, organisations increasingly rely on the collection and analysis of large-scale data (popularly called ‘big data’) to make decisions. These processes, which take

This introduction to statistics emphasizes the importance of data - its collection, summary and appraisal - in the application of statistical techniques.

This book inclusively and systematically presents the fundamental methods, models and techniques of practical application of grey data analysis, bringing together the authors’ many years of theoretica

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods a

The Yearbook provides statistics on the production of about 600 major industrial commodities. Data are provided for 2006-2015 for approximately 200 countries and territories.

This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. The authors discuss in the first part of this book,

Nicotine and Other Tobacco Compounds in Neurodegenerative and Psychiatric Diseases: Epidemiological Data on Smoking and Preclinical and Clinical Data on Nicotine provides a comprehensive summary of th

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is u

The second edition of Data Collection in Sociolinguistics: Methods and Applications continues to provide up-to-date, succinct, relevant, and informative discussion about methods of data collection in

Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for l

Every day, social service agencies collect millions of pieces of data about the children and families they serve. Agencies depend on this data to inform decision-making by personnel throughout the org

This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held i

"This book explores how big data technologies can address the operational challenges in the railway industry. It assists academics working in the big data domain to gain an understanding of the proble

This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.The field of feature selection i