This book considers local autonomy, measured as a multidimensional concept, from a cross-country comparative perspective, and examines how variations can be explained and what their consequences are.
Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies
To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of the data they ho
Combine two typically separate sources of data—behavioral quantitative data and usability testing qualitative data—into a powerful single tool that helps improve your organization’s website by increas
This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and
Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.When designing an enterprise data
Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemi
This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data m
Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Security has become a "big data" problem. The growth rate of malw
Inspire the data discussion! Data is a valuable resource for improving education. Unfortunately, many school data teams struggle to make sense of new and often overwhelming data. What Does Your
The military produces, senses, and consumes a tremendous amount of data. Developing ways to effectively leverage these troves of data to enhance operations is a persistent goal. This book
The role of educational developer in the realm of service-learning and community engagement (S-LCE) is multidimensional. Given the potentially transformational nature--for both faculty and students--o
The role of educational developer in the realm of service-learning and community engagement (S-LCE) is multidimensional. Given the potentially transformational nature--for both faculty and students--o
This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big
Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development. Authors Ted Malaska and Jonathan Seidm
The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled. It is now recognized that relational databases are not appro
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Mult
As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analyt
Survey Data Analysis in Applied Settings provides readers with an accessible hands-on approach to modern day applied survey data analysis. It offers detailed insights and step-by-step methods and tech
This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big
The quality of the integration of multiple data sources is key to ensuring that the data can be properly analyzed. This book presents statistical methods for analyzing integrated data, covering uncert
Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with r
This book introduces research data management and discusses the nature of research, what research data is, issues related to research data management, drivers and barriers for it, research data as
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysi
Data structure refers to the assimilation of data in a way so that it can be used efficiently. The important types of data structures are the record, the array, the table, the file, the tree, the clas
Interventions in special education are results of advocacy, legislation, litigation, research, and trends. Since interventions come in many forms, they represent multidimensional viewpoints and perspe
This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional f
Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data and usage of the extraordinary increase of computer processing power provided by Cloud Data Centres
This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big
With the growing popularity of “big data”, the potential value of personal data has attracted more and more attention. Applications built on personal data can create tremendous social and economic ben
This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of
Learn how to build efficient, secure and robust code in C++ by using data structures and algorithms - the building blocks of C++Key FeaturesUse data structures such as arrays, stacks, trees, lists, an
The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data sci
Multidimensional Therapy with Families, Children and Adults: The Diamond Model is a comprehensive introduction to a model of multi-systemic, integrative, culturally competent, child and family oriente
Multidimensional Therapy with Families, Children and Adults: The Diamond Model is a comprehensive introduction to a model of multi-systemic, integrative, culturally competent, child and family oriente
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data
Cases of Teachers’ Data Use addresses applications of student data beyond theoretical, school-, and district-level examinations by presenting case studies of teachers’ data use in practice. Within the
Cases of Teachers’ Data Use addresses applications of student data beyond theoretical, school-, and district-level examinations by presenting case studies of teachers’ data use in practice. Within the
Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ‘data doubles’. Whilst never a precise portrayal of who we are, they unarguably contain g
