Multidimensional Data Visualization

"Although they are less widely known than other models, combinatorial maps are very powerful data structures and can be useful in many applications, including computer graphics and image processing. T

Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will o

Today's marketers face a perilous journey.Thanks to new buyer dynamics, a boardroom-level obsession with marketing ROI, and 'big data' driven decision making tools, the rules have shifted beneath ever

"Time-series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time-series properties of their data as a nuisance rather than a substantively meanin

When our team members have usable information at their fingertips, they can: Answer questions faster, with little or no effort to collect the data; Make better use of their time planning improved outc

The only Oracle Press guide to developing next-generation predictive analytics applications with Oracle Data MinerPredictive analytics is the most technically sophisticated approach to staying ahead o

Many observational studies in epidemiology and other disciplines face inherent limitations in study design and data quality, such as selection bias, unobserved variables, and poorly measured variables

"Whilst the 'health sciences' are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills requ

The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever mor

There is a growing body of literature that focuses on the similarities and differences between how people behave in the offline world vs. how they behave in these virtual environments. Data mining has

This report shows how the Dutch Data Retention Act works in practice. It provides an overview of the way in which the Retention Act is structured, and of the use of the retained telephone and internet

Data-lntensive Scientific Discovery and Applications——Proceedings of International Workshop on Data-Intensive Scientific Discovery and Applications(2013)

This book constitutes the refereed proceedings of the 10th International Conference on Data Integration in the Life Sciences, DILS 2014, held in Lisbon, Portugal, in July 2014. The 9 revised full pape

This book constitutes the refereed proceedings of the 14th Industrial Conference on Advances in Data Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The 16 revised full papers present

"A successful data analytics program is the only way utilities will be able to meet the challenges of a modernized grid that is responsive from an operational perspective and meets the demands of gree

This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and inve

Construct a robust end-to-end solution for analyzing and visualizing streaming dataReal-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and V

How can you leverage the value of your company's data? Well over a century ago oil drove the development of innovations such as the internal combustion engine, central heating and plastics, changing o

"This book concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry, providing travel agents, visitors, and hosts with the most adv

"This book presents a philosophical study of statistics via the concept of data approximation. Developed by the well-regarded author, this approach discusses how analysis must take into account that m

This book emphasizes the collaborative analysis of data that is used to collect increments of time or space. Written at a readily accessible level, but with the necessary theory in mind, the author us

Big Data is rapidly transforming a number of business functions across many industries. The biggest transformation is in how we market to our customers. This book shows marketers today how to seek sma

"Whilst the 'health sciences' are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills requ

This is one of the first books that will help tool developers, as well as technologists and managers working in data provenance. For example, technologists can decide on the tools to select for a part

This book constitutes the refereed proceedings of the First International Conference on Soft Computing and Data Mining, SCDM 2014, held in Universiti Tun Hussein Onn Malaysia, in June 16th-18th, 2014.

This volume presents the proceedings of the First Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2014), which was hosted by Shenzhen Graduate School of Harbin Institute of Te

This book provides a complete analysis of educational production and costs using the nonparametric technique known as Data Envelopment Analysis (DEA). The book focuses on estimation of technical, allo

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Energy Efficient Data Centers, E2DC 2013, held in Berkeley, CA, USA, in May 2013; co-l

Table of Contents: 1. Data and Distributions 2. Numerical Summary Measures 3. Bivariate and Multivariate Data 4. Obtaining Data 5. Probability and Sampling Distributions 6. Quality and Reliability 7. Estimation and Statistical Intervals 8. Testing Statistical Hypotheses 9. The Analysis of Variance 10. Experimental Design 11. Inferential Methods in Regression and Correlation

By retrieving entries from the financial-data vendor Wind and collecting relevant data from private placement statements, the author builds a proprietary database and studies five aspects of private p

This collection of essays explores current developments in privacy law, including reform of data protection laws, privacy and the media, social control and surveillance, privacy and the Internet, and privacy and the courts. It places these developments into a broader international context, with a particular focus on the European Union, the United Kingdom, Australia and New Zealand. Adopting a comparative approach, it creates an important resource for understanding international trends in the reform of privacy and data protection laws across a variety of contexts. Written by internationally recognised experts, Emerging Challenges in Privacy Law: Comparative Perspectives provides an accessible introduction to contemporary legal and policy debates in privacy and data protection law. It is essential reading for academics, policy makers and practitioners interested in current challenges facing privacy and data protection law in Europe and in the common law world.

Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 201

Ace your VMware VCAP-DCA exam, prove your knowledge of VMware virtual datacenter technologies, and differentiate yourself in one of the highest-value, fastest-growing areas of IT: virtualized data cen

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets.

Determine the value and ROI of human capital initiatives using big data analyticsMaking Human Capital Analytics Work shows how to use data to drive decisions and build support for the HR function. It

This book explores the coming into being in European Union (EU) law of the fundamental right to personal data protection. Approaching legal evolution through the lens of law as text, it unearths the s

R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modu

The topic of this book is the modeling of data uncertainty and knowledge for a health engineering problem such as the biomechanics of the musculoskeletal system. This is the first book on this subject

The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding