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
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
Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitati
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
Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contri
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
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
This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of mult
A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R e
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
A step-by-step guide to understanding object-oriented programming with Objective-CAs the primary programming language for iPhone, iPad, and Mac OS X applications, Objective-C is a reflective, object-o
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
Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.Soft computing focuses on obtaining working solutions quic
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
The digital era shows an unprecedented worldwide flow of data within multinational companies and their external service providers. Binding Corporate Rules (BCRs) are designed to allow these companies
You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing? might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in
What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why ente
Science is increasingly driven by data, and spatial data underpin the science directions laid out in the 2007 U.S. Geological Survey (USGS) Science Strategy. A robust framework of spatial data, metada
Business data integration is a complex problem that must be solved when organizations change or enhance their internal structures. The goal of this book is to present a simple yet thorough resource th
Plain English guidance for strategic business analytics and big data implementationIn today's challenging economy, business analytics and big data have become more and more ubiquitous. While some busi
This inexpensive supplement introduces students to the collection, uses, and interpretation of statistical data in the social sciences. It is a welcome add-on to all social science introductory statis
Cameroon contains tropical Africa’s most species-diverse hotspots for plants. This addition to the Red Data Book of the International Union for the Conservation of Nature and Natural Resources documen
This text is an unbound, binder-ready edition. Over the past few years, many fundamental changes have occurred in data communications and networking that will shape the future for decades to come. Upd
Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfo
