Multidimensional Data Visualization

This volume contains the proceedings of the 2017 International Conference on Data Mining (DMIN'17).

Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovat

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data

How we understand and define qualitative data is changing, with implications not only for the techniques of data analysis, but also how data are collected. New devices, technologies and online spaces

Say goodbye to scratching your head in confusionThis data analytics book could be the answer you're looking for...This book has lots of valuable eye-opening information about data analytics, which wil

Understanding Development offers a comprehensive introduction to the multidimensional and evolving nature of international development in the contemporary world. This new edition has been f

Understanding Development offers a comprehensive introduction to the multidimensional and evolving nature of international development in the contemporary world. This new edition has been f

The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers and data scientists who are seeking to perform effective analyses of networks, especially inference

The rise of the internet and mobile telecommunications has created the possibility of using large datasets to understand behavior at unprecedented levels of temporal and geographic resolution. Online social networks attract the most users, though users of these new technologies provide their data through multiple sources, e.g. call detail records, blog posts, web forums, and content aggregation sites. These data allow scholars to adjudicate between competing theories as well as develop new ones, much as the microscope facilitated the development of the germ theory of disease. Of those networks, Twitter presents an ideal combination of size, international reach, and data accessibility that make it the preferred platform in academic studies. Acquiring, cleaning, and analyzing these data, however, require new tools and processes. This Element introduces these methods to social scientists and provides scripts and examples for downloading, processing, and analyzing Twitter data.

Data Munging with R shows readers how to take raw data and transform it for use in computations, tables, graphs, and more. Whether they already have some programming experience or they're just a sprea

Data science is the most exciting skill you can master. Data has dramatically changed how our world works. From entertainment to politics, from technology to advertising and from science to the busine

This book is published open access under a CC BY 4.0 license.It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cl

Discover hidden relationships among the variables in your data, and learn how to exploit these relationships. This book presents a collection of data-mining algorithms that are effective in a wide va

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-

Data where for each entity and variable a distribution is given is called distributional data. In the era of "Big Data," this type of data is becoming more and more prevalent. This edited book present

Academics often speak about love for their subject, mathematicians discuss their love for figures and numbers, and elementary school teachers speak about their love of children. As multidimensional as

Researchers working specifically on open data reflect critically on their findings, and apply and advance theories that explain the dynamics of open data as a socially constructed phenomenon and p

This book provides a multidimensional perspective on global football development. The conceptual foundations of this study were constructed with in-depth interviews and expert panels, while more preci

This book analyses the multidimensional condition of the Romanian industrial landscape, which played host to a multitude of demo-economic, financial, trade, and trans- and inter-sectoral development p

The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both s

A comprehensive guide to the art and science of bioimaging data acquisition, processing and analysis Standard and Super-Resolution Bioimaging Data Analysis gets newcomers to bioimage data analysis qui

This edited collection surveys and analyses the multidimensional problem of Hubris syndrome, and its deleterious effect on leadership within organisations. The study develops an extended metaphor of t

Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compressio

Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among oth

This book offers guidance for US-based IT businesses on both sides of the Atlantic when dealing with big data and government data, since transatlantic data flows are key to the success of these enterp

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-

An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read first data science textbook for those with no prior coding experience. The book is designed

Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonst

Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.It is

"This book addresses the challenges associated with data analysis through providing guidance in data retrieval and analysis and examples of high-quality research making use of these data sets. It incl

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide—updated for Python 3.5 and Pandas 1.0—is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython.Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive applications. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.

Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to go

This volume covers the multidimensional and international field of Heritage Language Education, including concepts, practices, and the correlation between culture and language from the perspectives of

Rao presents an easy to use quick reference to basic design data on polymer resin, machine, part, and process and shows how to apply this data to solve practical problems, using examples with calc

This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines su

Big data analytics provide more accurate, timely, and actionable decisions for both cybersecurity and IT management. This book gives a comprehensive coverage of state-of-the-art big data analytics in

Data is an important ingredient in any successful education system. Building and sustaining a data system are challenging tasks. Many countries around the world have spent significant resources but st

"This book addresses different aspects of data management and ethical issues in research such as data collection, data processing, data storage and retention among others to produce a very comprehensi

Even though 4G (fourth-generation mobile cellular networks) is not yet mainstream, computer scientists here say that a new generation is already needed with multidimensional requirements and challe

How can how security personnel use the data they gather to harden networks and defend systems? With this practical book, you’ll learn how to use tools to collect data, make defensible security judgeme