Multidimensional Data Visualization

This book constitutes the thoroughly refereed joint post proceedings of two international workshops, the 7th International Workshop on Data Privacy Management, DPM 2012, and the 5th International Work

Drawing on information obtained from the 2010 Census, this 6th edition of The American Counties provides up-to-date data on each county’s land area, population, county seat, date of creation, name ori

This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable.It features the most current methods on modeling repeated measures data as

Nearly all urban data used for the purpose of economic analysis, urban policymaking, and investment decision-making are aggregated data. Urban systems, however, are heterogeneous and complex, which re

Analytics is one of a number of terms which are used to describe a data-driven more scientific approach to management. Ability in analytics is an essential management skill: knowledge of data and anal

Analytics is one of a number of terms which are used to describe a data-driven more scientific approach to management. Ability in analytics is an essential management skill: knowledge of data and anal

This book explores different approaches to defining the concept of region depending on the specific question that needs to be answered. While the typical administrative spatial data division fits cert

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, p

This book on mobility of health professionals reviews, analyses and summarises published information and data as well as collected interview data from stake holders, including politicians, policy make

This book constitutes the refereed proceedings of the First International Conference on Big Data Analytics, BDA 2012, held in New Delhi, India, in December 2012. The 5 regular papers and 5 short paper

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

Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of appl

Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine underst

For the first time in book form, "B2B Customer Insight: The Proven Path to Growth," will reveal how customer insight surveys tailored to B2B relationships generate significant strategic data; data tha

For the first time in book form, "B2B Customer Insight: The Proven Path to Growth," will reveal how customer insight surveys tailored to B2B relationships generate significant strategic data; data tha

Databaseprogrammingis the process ofdeveloping data-intensiveapplications which demand the access to large amounts of structured, persistent data. The primary tool required for implementing such appli

A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today’s often unmanageable volumes of data by exploiting data mining and mach

The Global Financial Crisis and the Eurozone crisis that has followed have drawn attention to weaknesses in financial records, information and data. These weaknesses have led to operational risks in f

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

By considering cross-sectional and longitudinal aspects, linear and non-linear models, point and change data, different time periods, micro- and macro-level interaction, and data for individuals with

Here's what you should know to manage data records efficientlyWith proper electronic data management, your business can lower costs, improve efficiency, eliminate duplication, and be protected in the

James A. Storer Computer Science Dept. Brandeis University Waltham, MA 02254 Data compression is the process of encoding a body of data to reduce stor- age requirements. With Lossless compression, dat

This book constitutes the thoroughly refereed proceedings of the First International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June/July 2011.The 11

Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-ba

Thermochronology, the study of the thermal history of rocks, enables us to quantify the nature and timing of tectonic processes. First published in 2006, Quantitative Thermochronology is a robust review of isotopic ages, and presents a range of numerical modeling techniques to allow the physical implications of isotopic age data to be explored. The authors provide analytical, semi-analytical and numerical solutions to the heat transfer equation in a range of tectonic settings and under varying boundary conditions. They then illustrate their modeling approach built around a large number of case studies. The benefits of different thermochronological techniques are also described. Computer programs on an accompanying website at www.cambridge.org/9781107407152 are introduced through the text and provide a means of solving the heat transport equation in the deforming Earth to predict the ages of rocks and compare them directly to geological and geochronological data. Several short tutorials

This book constitutes the refereed proceedings of the 2nd International Conference on Model and Data Engineering, MEDI 2012, held in Poitiers, France, in October 2012.The 12 revised full papers presen

This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-f

Today's Web-enabled deluge of electronic data calls for automated methods of dataanalysis. Machine learning provides these, developing methods that can automatically detect patternsin data and then us

This book constitutes the refereed proceedings of the Second International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, held in conjunction with M

The book provides a comprehensive “map” of China's financial markets and institutions from 2009 to 2010 based on objective data. The book uses the mentioned data to analyze the status and trend of Chi

Your research has generated gigabytes of data and now you need to analyse it. You hate using spreadsheets but it is all you know, so what else can you do? This book will transform how you work with large and complex data sets, teaching you powerful programming tools for slicing and dicing data to suit your needs. Written in a fun and accessible style, this step-by-step guide will inspire and inform non-programmers about the essential aspects of Unix and Perl. It shows how, with just a little programming knowledge, you can write programs that could save you hours, or even days. No prior experience is required and new concepts are introduced using numerous code examples that you can try out for yourself. Going beyond the basics, the authors touch upon many broader topics that will help those new to programming, including debugging and how to write in a good programming style.

The authors assemble the latest available data on recruiting, retention, military versus civilian pay, and civilian employment conditions, and consider these data with respect to guidelines used in de

Solid business intelligence guidance uniquely designed for healthcare organizationsIncreasing regulatory pressures on healthcare organizations have created a national conversation on data, reporting a

Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions. These innovative steps considerably improve

This book results from the Herculean task of gathering,evaluating and analyzing criminological data for a period inthe history of Japan, the Showa Era, during which even therecording of data

Learning how to get answers from data is an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting changes in data management and analysi

This book constitutes the refereed proceedings of the 5th International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2012, held in Vienna, Austria, in September 2012 in conjun

This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012.The 22 revised full papers presented were carefully rev

Although we live in a world where we are surrounded in an ever-deepening fog of data, few understand how the data are created, where data are stored, or how to retrieve or destroy data. Accessible to

Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old"