Get started with Python for data analysis and numerical computing in the Jupyter notebookAbout This BookLearn the basics of Python in the Jupyter NotebookAnalyze and visualize data with pandas, NumPy,
This book covers the practical aspects of database design, data cleansing, data analysis, and data protection, among others. The focus is on what you really need to know to create the right database f
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence ar
This collection of contributions covers current issues in the field of operation research and big data analysis. The book includes valuable case studies with particular attention to applications in th
The volume, complexity, and irregularity of computational data in modern algorithms and simulations necessitates an unorthodox approach to computing. Understanding the facets and possibilities of soft
Movies will never be the same after you learn how to analyze movie data, including key data mining, text mining and social network analytics concepts. These techniques may then be used in endless othe
In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and oth
Randomized response is an approach to survey data collection specifically designed for sensitive inquiries (such as on criminal behavior). The logic underlying this approach is that the element of cha
This comprehensive Oracle Press guide thoroughly covers the latest Oracle-focused data integration tools, techniques, and practicesData integration is one of the most critical skills that all database
?This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: b
This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a
Türk, a freelance business consultant in Germany, offers a guide to each step of the data archiving process in the SAP (Systems Applications and Products) system. He outlines the basic principles and
Extend and enhance your Java applications with domain-specific scripting in GroovyAbout This BookBuild domain-specific mini languages in Groovy that integrate seamlessly with your Java apps with this
Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and stor
This handy pocket guide is a quick reference for users interested in gender statistics. The book presents gender-disaggregated data for more than 200 economies in an easy country-by-country reference
This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially f
"What information do these data reveal?" "Is the information correct?" "How can I make the best use of the information?" The widespread use of computers and our reliance on the data generated by them
The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built
?This volume presents new research results in data analysis and statistical modelling and offers a wealth of applications in areas such as economics and finance, education, social sciences, environmen
This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a uni
There has been a data rush in the past decade brought about by online communication and, in particular, social media (Facebook, Twitter, Youtube, among others), which promises a new age of digital enl
This Little Data Book on Information and Communications Technology 2015 presents tables for over 213 economies showing the most recent national data on key indicators of information and communications
There has been a data rush in the past decade brought about by online communication and, in particular, social media (Facebook, Twitter, Youtube, among others), which promises a new age of digital enl
Amid the proliferating cross-disciplinary discussion of ‘big data’ and algorithms, there is currently a lack of academic work on the changing landscape of calculative technologies and devices, this vo
This book introduces the field of Health Web Science and presents methods for information gathering from written social media data. It explores the availability and utility of the personal medical inf
Interest in data has been growing in recent years. Support for this peculiar class of digital information – its use, preservation and curation, and how to support researchers’ production and consumpti
Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and func
The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm con
The Art and Science of Analyzing Software Data: Analysis Patterns provides valuable information on the analysis methods that often transfer between projects, not only the algorithms derived from data
Graphs are about connections, and are an important part of our connected and data-driven world.A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science
The fast and easy way to make sense of statistics for big dataDoes the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-ov
The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large sca
The impact of data abundance extends well beyond business ensuring funding for social programs. Big Data has the potential to be “humanity’s dashboard,” an intelligent tool that can help combat povert
This complete how-to guidebook provides you with the tools and inspiration you need to use infographics and data visualization techniques in your library to knock your audience’s socks off as you tell
This complete how-to guidebook provides you with the tools and inspiration you need to use infographics and data visualization techniques in your library to knock your audience’s socks off as you tell
