Multidimensional Data Visualization

Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop. This book is ideal for R developers who

The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Data envelopme

Scholars of public health and geography survey techniques for collecting, analyzing, and displaying geographic health data, focusing on methods that require only an Internet-linked computer, rather th

The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics. The growing populari

This book is an introductory text on analyzing economic data, covering all the key issues required for students wishing to understand and analyse core empirical issues in economics. It focuses on desc

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Bio-Nanoimaging: Protein Misfolding & Aggregation provides a unique introduction to both novel and established nanoimaging techniques for visualization and characterization of misfolded and aggreg

This third edition of a classic text continues to present a comprehensive introduction to Bayesian data analysis. Along with new and revised software code, this edition includes four new chapters on n

Visual Computing for Medicine, 2nd Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applicatio

The landscape of today’s business is shaped by the mountains of data being produced, with rapid growth in the volume, variety, and velocity of data due to the explosion of smart devices, mobile applic

Big Data in History introduces a project to create a world-historical archive that will trace the last four centuries of historical dynamics and change. The archive will link research on social, econo

This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigor

Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data

Substantially updated, this self-contained second edition uses Bayesian hierarchical models in the analysis of spatial data. Three new chapters cover hierarchical models for point-process data with a

Here s the ideal statistics book for teachers with no statistics background. Written in an informal style with easy-to-grasp examples, The Basics of Data Literacy teaches you how to help your students

"The Muslim Heritage of Bengal is a multidimensional work. . . . I am sure this book will add to the vista of knowledge in the field of Muslim history and heritage of Bengal. I recommend this work."?A

"The Muslim Heritage of Bengal is a multidimensional work. . . . I am sure this book will add to the vista of knowledge in the field of Muslim history and heritage of Bengal. I recommend this work."?A

This practical guide helps statisticians, students, and baseball fans learn about sabermetrics and the use of R in data exploration. It covers the relation between runs and wins and the runs expectanc

This book offers conceptual analyses, highlights issues, proposes solutions, and discusses practices regarding privacy and data protection, from the concept of how to forget in a digital world to data

Designed for a CS2 data structures course, this text provides a thorough but concise overview of data structures as well as a gradual introduction to Java. It uses a concise style and includes pseudoc

Authored by a geophysicist with more than 50 years of experience in research and instruction, Reflection Seismology: Theory, Data Processing and Interpretation provides a single source of foundational

Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge

Krier and Strasser offer guidance to librarians who are dealing with the National Science Foundation's new policy that grant applications must include data management plans. They cover what data manag

How nonspecialists can make use of statistics and data Students at university may be expected to analyze complex data and present your findings, whatever their area of study. This guide teaches the sk

Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible b

Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, produc

Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that c

Make tools for storage accessible from Azure apps and any Internet connected appIn Windows Azure Data Storage, Simon Hart of Microsoft’s Windows Azure Center of Excellence Team gives you all the tools

School leaders must know how to analyze, interpret, and use data so that they can make informed decisions in all areas of education, ranging from professional development to student learning. This boo

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a bra

Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from com

Seismic Data Analysis Techniques in Hydrocarbon Exploration explains the fundamental concepts and skills used to acquire seismic data in the oil industry and the step-by-step techniques use to extract

This book addresses the need to improve TCP’s performance inside data centers by providing solutions that are both practical and backward compatible with standard TCP versions. The authors approach th

This book includes the work of 20 specialists working in various educational contexts around the world to create comprehensive and multidimensional coverage of current bilingual initiatives. Themes co

This book includes the work of 20 specialists working in various educational contexts around the world to create comprehensive and multidimensional coverage of current bilingual initiatives. Themes co

Expanded to cover the latest in business intelligence—big data, cloud, mobile, visual data discovery, and in-memory—this fully updated bestseller by BI guru Cindi Howson provides the most modern techn

Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipp

This SpringerBrief presents a survey of data center network designs and topologies and compares several properties in order to highlight their advantages and disadvantages. The brief also explores sev

?This book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels and dynamic spatial panel data models. T

In the new era of big data, businesses require data systems that can blend always-available transactions with speed-of-thought analytics. This book makes it easier to build next-generation application