Multidimensional Data Visualization

RapidMiner is one of the most widely used open source data mining solutions world-wide. This book provides an application use case-based introduction to data mining and to RapidMiner (and RapidAnalyti

The Little Data Book on Financial Development 2014 is a pocket edition of the Global Financial Development Database, published as part of the work on the Global Financial Development Report 2014: Fina

Pentaho Data Integration Cookbook Second Edition is written in a cookbook format, presenting examples in the style of recipes.This allows you to go directly to your topic of interest, or follow topics

Urban community colleges--and the cities they serve--are undergoing rapid, multidimensional changes in response to new conditions and demands. The challenge for all community colleges, regardless of s

?This book presents a scientific discussion of the state-of-the-art techniques and designs for the modeling, testing and performance analysis of data converters. It presents the outcome of the IWADC w

Measuring Ocean Currents: Tools, Technologies, and Data covers all major aspects of ocean current measurements in view of the implications of ocean currents on changing climate, increasing pollution l

Leverage big data insights to improve customer experiences and insure business successMany of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and ex

Step-by-step guidance for implementing an effective statewide longitudinal data systemEvery U.S. state faces challenges in its efforts to ensure the highest-quality education for students. To address

Get the edge on processing big data using the Hadoop software libraryAllowing for the distributed processing of large data sets across clusters of computers, Hadoop uses a simple programming model t

Internet Computing and Big Data is a compendium of articles and papers that were presented at ICOMP '13, an international conference that serves researchers, scholars, professionals, students, and aca

Data and Computer Communications, 10e, is a two-time winner of the best Computer Science and Engineering textbook of the year award from the Textbook and Academic Authors Association. It is ideal for

This Annals issue showcases the proceedings of the conference "Implications of a Data-Driven Built Environment," presented by the New York Academy of Sciences' Green Buildings Discussion Group on May

Transform Big Data into Insight"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solut

Manuel Lima's smash hit Visual Complexity is now available in paperback. This groundbreaking 2011 book—the first to combine a thorough history of information visualization with a detailed look at toda

“Addressing society’s major unmet needs as profitable business opportunities.” —Control Data Mission Statement. Control Data Corporation not only revolutionized the mainframe computer market but also

The Taiwan Statistical Data Book is designed to give domestic and foreign readers concise statistical information on present-day Taiwan, Republic of China. The statistics cover demographic, economic,

This book focuses on teaching you by example. The book walks you through every aspect of Pentaho Data Integration, giving systematic instructions in a friendly style, allowing you to learn in front of

Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suit

The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining fo

This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different com

This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different com

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a v

This volume updates the guidelines for utilizing the Data Template on International Reserves and Foreign Currency Liquidity Data jointly developed by the International Monetary Fund and the Committee

According to economic theory, production and costs follow patterns that are common to many firms. In a world of perfect information, managers could utilize this cost data to make production decisions

"Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive

Written for those with a science and engineering background, this book introduces and explains a comprehensive set of data mining techniques from various data mining fields. Concepts and methodologies

This book analyzes the methods, technologies, standards, and languages to structure and describe data in their entirety. It reveals common features, hidden assumptions, and ubiquitous patterns among t

Ultrasound-Guided Nerve Blocks on DVD: Upper Limbs, Second Edition For PCOne of the longstanding challenges to effective nerve blockade has been precise needle placement without visualization. Ultraso

Ultrasound-Guided Nerve Blocks on DVD: Lower Limbs, Second Edition For MACOne of the longstanding challenges to effective nerve blockade has been precise needle placement without visualization. The ad

Ultrasound-Guided Nerve Blocks on DVD: Upper Limbs, Second Edition for MACOne of the longstanding challenges to effective nerve blockade has been precise needle placement without visualization. Ultras

Revision of established textbook by one of the leading international researchers and writers on panel data. Comments on the current fourth edition from leading econometricians. Includes new chapter

The understanding of sound underwent profound changes with the advent of laboratory science in the nineteenth and twentieth centuries. New techniques of sound visualization and detection, the use o

All good math students need to know how to handle data, whether it’s measuring it or interpreting it. By presenting the principles of measurement in the context of familiar situations, students will l

From the 'Monster of Ravenna' to the 'Elephant Man', Myra Hindley and Ted Bundy, the visualization of 'real', human monsters has always played a part in how society sees itself. But what is the functi

This book features a novel geometric data structure for collision detection at haptic rates between arbitrary rigid objects. It offers a state of the art review of the current data structures for coll

This collection, assembled and introduced by the esteemed editorial team of acclaimed Social Statistics, tracks the development of statistical methods for continuous or interval-scale data. The volume

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods fo

This book constitutes the refereed proceedings of the 13th Algorithms and Data Structures Symposium, WADS 2013, held in London, ON, Canada, August 2013. The Algorithms and Data Structures Symposium -

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of intere

Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer a thorou