Multidimensional Data Visualization

The introduction of techniques that permit visualization of the human nervous system is one of the foremost advances in neuroscience and brain-related research. Among the most recent significant devel

The volume investigates the visualization of both ritual and decorative aspects of auspiciousness and protection in the form of celestial characters in art and architecture. In doing so, it covers mor

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 book contains papers presented at the Workshop on the Analysis of Large-scale, High-dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It featu

This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. It explores techniques for efficiently integrating renewable

This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual net

"This book narrows down the scope of data mining by adopting a heavily modeling-oriented perspective"--

The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor pan

The outbreak of organised, violent peasant protests across the Chinese countryside from the late 1990s to the early 2000s has attracted much scholarly interest. In this study, An Chen endeavours to understand from these protests the question of the Chinese government's control in the countryside and the impact of this violent resistance on China's rural governance in the context of market liberalisation. Utilising extensive field research and data collected from surveys across rural China, the book provides an in-depth exploration of how rural governance in China has been transformed following two major tax reforms: the tax-for-fee reform of 2002–4, and the abolition of agricultural taxes (AAT) in 2005–6. In a multidimensional analysis which combines approaches from political science, economics, finance and sociology, Chen argues that private economic power has merged with political power in a way that has reshaped village governance in China, threatening to fundamentally change its po

Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and so

Hernon, Dugan, and Matthews explain how library managers can use the ACRLMetrics and PLAmetrics online data services that provide access to the library statistics of the Association of College and Res

The third edition of Lyn Richards' best-selling book is the perfect introduction to qualitative research for students and practitioners. Recognizing that for many new researchers dealing with data is

Recognizing that for many new researchers dealing with data is the main point of departure, this book helps them to acquire an understanding of the skills and methodological issues that are central to

This timely interdisciplinary work on current developments in ICT and privacy/data protection, coincides as it does with the rethinking of the Data Protection Directive, the contentious debates on dat

Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport per

Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines

This book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. It describes the most commonly used approaches in this area - includ

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other relate

Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport per

Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gather

Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out

In this, the first data-driven guide to real time marketing, Chris Kerns outlines the value of RTM via a comprehensive social data performance analysis. He lays out best practices for measuring RTM, i

Human liberation has become an epochal challenge in today’s world, requiring not only emancipation from oppressive structures but also from the oppressive self. It is a multidimensional struggle and a

If your are interested in the power of Big Data to drive improvement in your business, then this book will help you build and initiate a project for positive change.

Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to h

Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences,

The purpose of the book is to provide insights and knowledge which can be actioned by both business people who are end users of data mining, as well as the hands-on data mining practitioner. The persp

Using Geochemical Data brings together in one volume a wide range of ideas and methods currently used in geochemistry, providing a foundation of knowledge from which the reader can interpret, evaluate

Healthcare is changing, and data is the catalystData is taking over in a powerful way, and it's revolutionizing the healthcare industry. You have more data available than ever before, and applying the

With this textbook, Vaisman and Zimanyi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications

The indispensable resource for all HVAC professionals—fully updated for the latest advances in the fieldFeaturing approximately 30% new or revised material, HVAC Equations, Data, and Rules of Thumb, T

Disability is a complex multidimensional social construct where the type of disability and the level of support of individuals needs to be considered within leisure provision. In a leisure context, pe

Cognitive Behavioral Therapy (CBT) is an approach that addresses dysfunctional emotions and negative behaviors through goal setting and various coping techniques, such as meditation, visualization, re

Now that huge amounts of information can be gathered and processed with ever-greater speed, graphic designers and illustrators are playing a crucial role in explaining what all the collected data real

This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a c

Demonstrates how universities can use Big Data to enhance operations and management, improve the education pipeline, and educate the next generation of data scientists.

Demonstrates how universities can use Big Data to enhance operations and management, improve the education pipeline, and educate the next generation of data scientists.

"This book investigates the incorporation of data mining into business technologies used in the decision making process, emphasizing cutting-edge research and relevant concepts in data discovery and a

Thetwo authorsof the MIT based SENSEable City Lab show how Big Data change reality and, hence, the way we deal with the city. They demonstrate how the Lab interprets digital data as material that can

In Situ Hybridization Protocols, Fourth Edition contains 21 protocols that utilize the in situ hybridization technology to document or take advantage of the visualization of specific RNA molecules. Wr