Multidimensional Data Visualization

Globalization and Development draws upon the experiences of the Latin American and Caribbean region to provide a multidimensional assessment of the globalization process from the perspective of develo

Originally published to celebrate the centennial of Joseph Cornell’s birth,this book provides a multidimensional perspective on the pioneeringmodern artist. Lavishly illustrated with more than seventy

Panel data econometrics uses both time series and cross-sectional data sets that have repeated observations over time for the same individuals (individuals can be workers, households, firms, industrie

Information fusion is becoming a major requirement in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as we

Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level conce

Marilyn Chin, with her multilayered, multidimensional, intercultural singing, elegizes the loss of her mother and maternal grandmother and tries to unravel the complexities of her family's past.

Written for practitioners of data mining, data cleaning and database management. Presents a technical treatment of data quality including process, metrics, tools and algorithms. Focuses on develop

Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essent

Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master's level students, but it also contains sufficient challenging material that it will be of interest to geographers, social and economic scientists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.

Data Networking is a capability that allows users to combine separate data bases, telecommunication systems, and specialised computer operations into a single integrated system, so that data communica

This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those take

Nonlinear optical studies of periodic dielectric structures have blossomed in the past two decades. New fabrication techniques are producing fiber grating and multidimensional photonic crystals in mat

Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies

The most prominent Web applications in use today are data-intensive. Scores of database management systems across the Internet access and maintain large amounts of structured data for e-commerce, on-l

This book provides a multidimensional approach to ethical leadership in human services. Practical and theoretical perspectives integrated throughout the book help leaders consider the complexity of mo

This book elaborates on a multidimensional model of decision-making that applies to how individuals make "mundane decisions." Decisions about pursuing relationships, exercise, work, or anything where

This volume collects seven of Marc Nerlove's previously published, classic essays on panel data econometrics written over the past thirty-five years, together with a cogent essay on the history of the subject, which began with George Biddell Airey's monograph published in 1861. Since Professor Nerlove's 1966 Econometrica paper with Pietro Balestra, panel data and methods of econometric analysis appropriate to such data have become increasingly important in the discipline. The principal factors in the research environment affecting the future course of panel data econometrics are the phenomenal growth in the computational power available to the individual researcher at his or her desktop and the ready availability of data sets, both large and small, via the Internet. The best way to formulate statistical models for inference is motivated and shaped by substantive problems and understanding of the processes generating the data at hand to resolve them. The essays illustrate both the role

Dancing the Data and its interrelated CD-ROM, Dancing the Data Too, show the ways in which educational research and the visual and performing arts can embrace each other to engender a culture of feeli

The Handbook of Massive Data Sets is comprised of articles written by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval bo

A concise guide of essential data compression methods and algorithms for text, audio and imaging data.

A goldmine of valuable tools for data modelers!Data modelers render raw data-names, addresses, and sales totals, for instance-into information such as customer profiles and seasonal buying patterns th

Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time

Data Communications and Networks uses a top-down, Internet-focussed approach to tackle the problem of communication system design. An integrated approach is taken to networks and data communications,

An interdisciplinary study of the basic human activities of accessing and browsing. This book contends that accessing and browsing information and communication are multidimensional and consequentia

Data communication is the movement of encoded data by electronic means. It is the fastest growing segment of the telecommunications industry and is involved in almost every facet of life today. Writte

Microsoft Data Mining approaches data mining from the particular perspective of IT professionals using Microsoft data management technologies. The author explains the new data mining capabilities in

The ability to analyze and understand massive data sets lags far behind the ability to gather and store the data. To meet this challenge, knowledge discovery and data mining (KDD) is growing rapidl

Can any subject inspire less excitement than "data quality"? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the w

With this book, Tim Budd looks at data structures by providing a solid foundation on the abstract data type (ADT), and uses the graphical elements found in Java when possible. The beginning chapters

Improve clinical performance and demonstrate value to health care purchasers and insurers by becoming a "data detective" within your organization. Health Data Quest is the practical guide to the most

Thirty leading Victorianists from around the world collaborate here in a multidimensional analysis of the breadth and sweep of modern Britain's longest, unruliest literary epoch.

This book describes and explains approaches to the evaluation and analysis of secondary data in criminological research. The book focuses on secondary data originating in surveys, information collecte

"... a comprehensive analytical survey of the multidimensional evolution of black political thought in South Africa's politicization process." —Choice"Many citizens experience a sense of reluctance to

Helps any serious data analyst with a computer to recognize the strengths and limitations of data, to test the assumptions implicit in the least squares methods used to fit the data, to select appropr

Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. A unique feature of this text is its emphasis on applications. All models deve

Data Interpretation Questions in Paediatrics is a book of 150 data interpretation questions for candidates of this section of the membership examination. To better reflect the actual exam environment

Rather than present decision making strictly as a quantitative science, this text views it as a multidimensional process involving values, psychology, sociology, social psychology, and politics. Usin

Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

Tango. A multidimensional expression of Argentine identity, one that speaks to that nation’s sense of disorientation, loss, and terror. Yet the tango mesmerizes dancers and audiences alike throughout