Multidimensional Data Visualization

"Aaron Shurin writes piercingly lovely poetry that?s multidimensional and insists on being read aloud, though its eloquence is equally powerful on the page without sound, with that enclosed, attentive

Intended as a reference for IT consultants and data analysts, this guide to data mining serves as a practical handbook for designing and implementing systematic programs for data culling and the produ

"This book uses a common data set and utilizes various theoretical perspectives through which to view data. "Plugging in" the theory and the data produces a variety of readings through the application

"This book uses a common data set and utilizes various theoretical perspectives through which to view data. "Plugging in" the theory and the data produces a variety of readings through the application

The book presents an in depth review from eminent industry practitioners and researchers of the emerging green face of multidimensional environmental chemistry. Topics such as green chemistry in indus

Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computin

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement data processing. Presenting the first-hand insights and experien

The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers to smartphones and websites. As a consequence, data management concepts, methods and techniques are increasingly focused on distribution concerns. Now that information largely resides in the network, so do the tools that process this information. This book explains the foundations of XML with a focus on data distribution. It covers the many facets of distributed data management on the Web, such as description logics, that are already emerging in today's data integration applications and herald tomorrow's semantic Web. It also introduces the machinery used to manipulate the unprecedented amount of data collected on the Web. Several 'Putting into Practice' chapters describe detailed practical applications of the technologies and techniques. The book will serve as an introduction to the new, global, information systems for Web professiona

Satellite Data Compression covers recent progress in compression techniques for multispectral, hyperspectral and ultra spectral data. A survey of recent advances in the fields of satellite communicati

Fully updated for Xcode 4.2, Pro Core Data for iOS explains how to use the Core Data framework for iOS SDK 5 using Xcode 4.2. The book explains both how and why to use Core Data, from simple to advanc

Economists describe methods of analyzing data sets in which some data is missing, either because it was never generated--someone failed to answer a particular question--or because the observation was

Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, fact

Data Structures and Other Objects Using Java is a gradual, "just-in-time" introduction to Data Structures for a CS2 course. Each chapter provides a review of the key aspects of object-oriented progr

Using Test Data for Student Achievement shows educators, step by step, how to use test data to facilitate student learning. The book combines research, technology and Sindelar's experience as a teache

Do You Know If Your Data Warehouse Flexible, Scalable, Secure and Will It Stand The Test Of Time And Avoid Being Part Of The Dreaded "Life Cycle"?The Data Vault took the Data Warehouse world by storm

This book considers two popular topics: fault detection and isolation (FDI) and flight data estimation using flush air data sensing (FADS) systems. Literature surveys, comparison tests, simulations an

Seeking to identify the self that straddles both spiritual and physical worlds, Janine Oshiro's multidimensional poems are borderlands?wild and uncontained?where vision and illusion become crucial to

This book has two audiences: ‧ Data modelers (both analysts and database designers) who are convinced that UML has nothing to do with them; and ‧ UML experts who don't realize that architectural data

This book constitutes the refereed proceedings of the 12th Algorithms and Data Structures Symposium, WADS 2011, held in New York, NY, USA, in August 2011. The Algorithms and Data Structures Symposium

Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations Making Sense of Data III: A Practical Guide to Designing Interactive Data Visual

A provocative counterargument to the blue/red divide that illuminates our country's multidimensional political spectrum. In a climate of culture wars and economic uncertainty, the media have often r

This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, s

Learning in a Musical Key examines the multidimensional problem of the relationship between music and theological education. Lisa Hess argues that, in a delightful and baffling way, musical learning h

" A comprehensive treatment that focuses on how to create efficient data structures and algorithms, this text helps readers understand how to select or design the data structure that will best solve a

" A comprehensive treatment that focuses on how to create efficient data structures and algorithms, this text helps readers understand how to select or design the data structure that will best solve a

Detailing powerful methods for reducing the energy costs associated with operating a data center, Making Your Data Center Energy Efficient examines both equipment and building facilities. It reviews t

Volume 1: Research Methodology: Conjoint Analysis, Multidimensional Scaling and Related TechniquesEdited by: James Agarwal, Haskayne School of Business, University of Calgary, CanadaVolume 2: Research

The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users wil

This study guide contains warm-up data interpretation questions, mini data interpretation tests, and three full-length data interpretation tests, for a total of 330 practice questions with explained a

This data guide takes readers through the cycle of social science research, from applying for a research grant, through conducting the data collection phase, and ultimately to preparing the data for d

Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply t

Presents the concept of the law of attraction, a visualization method to achieve goals in school, relationships, and life in general.

Warranty Data Collection and Analysis deals with warranty data collection and analysis and the problems associated with these activities. The book is a both a research monograph and a handbook for pra

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that aboun

This book provides a detailed description of various multidimensional chromatographic separation techniques. The editor first provides an introduction to the area and then dives right into the various

Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an

Computer scientists from around the world report recent developments in data warehousing, focusing not on the static storage of data, but on how the data can be used to devise or refine business strat

The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier

Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to extract hidden features from patient groups and disease stat

An anthology of case studies of eight different schools and school systems that have implemented successful Data Teams. A Data Team is a group of teachers who collects and charts data from assessments