Multidimensional Data Visualization

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the

Unique prospective on the big data analytics phenomenon for both business and IT professionalsThe availability of Big Data, low-cost commodity hardware and new information management and analytics sof

Sci-fi infl uences so many things today, from the visualization of movies and computer games to album covers, gadget designs and theme park attractions. Now, this luxurious postcard collection gathers

STATISTICS: LEARNING FROM DATA, by respected and successful author Roxy Peck, resolves common problems faced by learners of elementary statistics with an innovative approach. Peck tackles the areas le

Written by a leading expert in the field, this guide focuses on the convergence of two major trends in information management—big data and information governance—by taking a strategic approach oriente

This classic, best selling data structures text provides a firm foundation in data abstraction that emphasizes the distinction between specifications and implementation as the basis for an object-orie

The shrinking city phenomenon is a multidimensional process that affects cities, parts of cities or metropolitan areas around the world that have experienced dramatic decline in their economic and soc

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook

This anthology presents a synthesis of recent research on villas and villa landscapes in the northern provinces of the Roman world. It offers an original, multidimensional perspective on the social

The purpose of this book is to provide instruction and guidance on preparing quantitative data sets prior to answering a studyAs research questions. Preparation may involve data management and manipul

Dihedral Fourier Analysis introduces the theory and applications necessary to study experimental data indexed by, or associated with, the points in a dihedral symmetry orbit.This book looks at experim

Digital Functions and Data Reconstruction: Digital-Discrete Methods provides a solid foundation to the theory of digital functions and its applications to image data analysis, digital object deformati

This book introduces using R for data mining. Data mining techniques are widely used in government agencies, banks, insurance, retail, telecom, medicine and research. Recently, there is an increasing

Theory-Based Data Analysis for the Social Sciences, Second Edition presents a method for bringing data analysis and statistical technique into line with theory. Carol S. Aneshensel begins by describin

A one-stop-shop for students new to qualitative data analysis! In this fully updated and expanded Second Edition, Carol Grbich provides a guide through current issues in the analysis of qualitative da

A one-stop-shop for students new to qualitative data analysis! In this fully updated and expanded Second Edition, Carol Grbich provides a guide through current issues in the analysis of qualitative da

The Second Edition of Interpreting Quantitative Data with IBM SPSS is an invaluable resource for students analyzing qualitative data with IBM SPSS Statistics for the first time. The book clearly sets

As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, w

Data interpretation questions based on clinical cases are a popular means of testing medical students both during undergraduate studies and as an element of finals examinations. Written by a small tea

Variation within the English language is a vast research area, of which dialectology, the study of geographic variation, is a significant part. This book explores grammatical differences between British English dialects, drawing on authentic speech data collected in over thirty counties. In doing so it presents a new approach known as 'corpus-based dialectometry', which focuses on the joint quantitative measurement of dozens of grammatical features to gauge regional differences. These features include, for example, multiple negation (e.g. don't you make no damn mistake), non-standard verbal-s (e.g. so I says, What have you to do?), or non-standard weak past tense and past participle forms (e.g. they knowed all about these things). Utilizing state-of-the-art dialectometrical analysis and visualization techniques, the book is original both in terms of its fundamental research question ('What are the large-scale patterns of grammatical variability in British English dialects?') and in ter

The post-genomic revolution is witnessing the generation of petabytes of data annually, with deep implications ranging across evolutionary theory, developmental biology, agriculture, and disease proce

Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. T

SQL Server 2012 Data Integration Recipes provides focused and practical solutions to real world problems of data integration. Need to import data into SQL Server from an outside source? Needto export

KINGDOM OF THE BLOSSOMS is an eternally triumphant saga about human striving for happiness and truth. The book is a living conglomerate of prose, poetry and visualization, waiting to be discovered by

Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in the fields of computer graphics, geometric modeling, visualization, signal an

As data hiding detection and forensic techniques have matured, people are creating more advanced stealth methods for spying, corporate espionage, terrorism, and cyber warfare all to avoid detection. D

From Oracle Press—standard strategies for the PeopleSoft PeopleTools data management and upgrade processWritten by the Oracle University Lead Instructor for PeopleSoft PeopleTools, PeopleSoft PeopleTo

Psychic sex abuse is enabled by remote viewing and visualization. Called remote influencing, it is practiced by military operatives.Also, an object can be embued with psychic energy, called human psyc

Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the observed data. Its techniques are widely applied in engineering, science, fin

Deploy and Maintain an Integrated MDS Architecture Harness your master data and grow revenue while reducing administrative costs. Thoroughly revised to cover the latest MDS features, "Microsoft SQL Se

Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language underst

"This book is an essential collection of research on the area of data mining and analytics, presenting the most recent perspectives on data mining subjects and current issues"--Provided by publisher.

The original purpose of hiding data in electronic media was to identify authors, distributors, and other legitimate parties as part of combating piracy. Recently, however, meta data is also being hidd

?????????This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clev

Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly i

Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose

Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the pract

Optical Interconnects in Future Data Center Networks covers optical networks and how they can be used to provide high bandwidth, energy efficient interconnects for future data centers with increased c

Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). Th

In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from seve