Multidimensional Data Visualization

This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component d

High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. T

A combination of two texts authored by Patrick Dunn, this set covers sensor technology as well as basic measurement and data analysis subjects, a combination not covered together in other references.

The dynamics of financial returns varies with the return period, from high-frequency data to daily, quarterly or annual data. Multifractal Random Walk models can capture the statistical relation betwe

Looking for accurate, up-to-date data on development issues? 'World Development Indicators' is the World Bank's premier annual compilation of data about development. This indispensable statistical ref

Collaborative tagging is a system that allows data miners to annotate arbitrary resources with freely chosen keywords, or tags. Jaschke (knowledge and data engineering, U. of Kassel, Germany) explains

Interweaving the human aspects of river control with analysis of hydro-physical data, including historical data over the last few centuries, this monograph is a comprehensive evaluation of the Damodar

Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can

This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one stud

Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different gr

Modelling, Inference and Data Analysis brings together key topics in mathematical statistics and presents them in a rigorous yet accessible manner. It covers aspects of probability, distribution theor

A Data-Based Assessment of Research-Doctorate Programs in the United States provides an unparalleled dataset that can be used to assess the quality and effectiveness of doctoral programs based on meas

This slim volume on data mining presents practical recipes for extracting and analyzing data from the Twitter social networking framework. A spin-off of the more comprehensive volume Mining the Social

Demonstrates Excel fundamentals, explaining how to build worksheets, use formulas and functions, create charts and perform data analysis, and display data in different types of charts.

As the most influential thought leaders in the data warehousing and business intelligence industry, the Kimball Group has developed pioneering techniques that serve as industry standards for DW/BI sys

For its operational planning and budget programming, the Department of Defense (DoD) needs frequent access to current, detailed data on authorized force structures for all the services. Having users

Chapter 1: Introduction to Business IntelligenceChapter 2: Data WarehousingChapter 3: Business Performance ManagementChapter 4: Data Mining for Business IntelligenceChapter 5: Text and Web MiningChapt

In order to gain an understanding of the dynamics of human individual and average growth patterns it is essential that the right methods are selected. There are a variety of methods available to analyse individual growth patterns, to estimate variation in different growth measures in populations and to relate genetic and environmental factors to individual and average growth. This volume provides an overview of modern techniques for the assessment and collection of growth data and methods of analysis for individual and population growth data. The book contains the basic mathematical and statistical tools required to understand the concepts of the methods under discussion and worked examples of analyses, but it is neither a mathematical treatise, nor a recipe book for growth data analysis. Aimed at junior and senior researchers involved in the analysis of human growth data, this book will be an essential reference for anthropologists, auxologists and paediatricians.

Data management has evolved over the years from being strictly associated with database systems, through active databases, to become a topic that has grown beyond the scope of a single field encompass

Data metrics in schools are becoming increasingly complex, but despite their best efforts, teachers and academics generally find them something of a black-box . This book lifts the lid on that box, ex

Data metrics in schools are becoming increasingly complex, but despite their best efforts, teachers and academics generally find them something of a ‘black-box’. This book lifts the lid on

Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidem

This book focuses on the application of Data Envelopment Analysis (DEA) to Major League Baseball (MLB). DEA is a nonparametric linear programming model that is used across academic disciplines. In sp

Due to inherent limitations in human sensing organs, most data collected for various purposes contain uncertainties. Even at the rare occasions when accurate data are available, the truthful predictio

"Written by three leaders in the field of neural based algorithms, Neural Based Orthogonal Data Fitting proposes several neural networks, all endowed with a complete theory which not only explains the

In the field of biological informatics, new methods of data collection that gather huge amounts of data and produce new data types have spurred advanced methods of searching for useful regularities o

Persistence is an important set of techniques and technologies for accessing and transacting data, and ensuring that data is mobile regardless of specific applications and contexts. In Java developmen

This book offers a survey of the contribution of satellite data to the study of the ocean, focusing on the special insights that only satellite data can bring to oceanography. Topics range from ocean

The latest research about improving education shows that when educators work together to examine data, brainstorm strategies, implement those strategies, and check the data again, student achievement

Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. T

Anyone considering a data governance program within their organization will find an invaluable step-by-step methodology using IBM tools and best practices in this structured how-to. While many in the

Looking for accurate, up-to-date data on development issues? World Development Indicators is the World Bank's premier annual compilation of data about development. This indispensable statistical refer

Ultimately the large volumes of data that reside in or move through the electronic dimension of information must be presented for human consideration in some manner of simple visual form--chart, diagr

This collection of fifteen articles on advanced data mining technologies provides an overview of current scholarship in this increasingly important field of information management. Divided into sectio

This book presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining. Link mining is an important field of data mining. Traditional data mining focuses

Originally published in 2004, Distillation Theory and Its Application to Optimal Design of Separation Units presents a clear, multidimensional geometric representation of distillation theory that is valid for all distillation column types, splits, and mixtures. This representation answers such fundamental questions as: what are the feasible separation products for a given mixture? What minimum power is required to separate a given mixture? What minimum number of trays is necessary to separate a given mixture at a fixed power input? This book is intended for students and specialists in the design and operation of separation units in the chemical, pharmaceutical, food, wood, petrochemical, oil-refining, and natural gas industries and for software designers.

With Amazon Web Services you can launch new servers in minutes, distribute data through a global high-speed network, and store terabytes of data at a fraction of the normal cost.Host Your Web Site in

This book constitutes the refereed proceedings of the 7th International Conference on Data Integration in the Life Sciences, DILS 2010, held in Gothenburg, Sweden, on August 25-27, 2010. The 14 revise

Transform Raw Data Into Meaningful Business Intelligence with SSISDeploy and manage high-performance data transformation solutions across your enterprise using the step-by-step techniques in this full