Multidimensional Data Visualization

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Th

This volume will assist readers in fitting big data analysis into their service-based organizations.Volume I of this two-volume series focuses on the role of big data in service delivery systems. It d

This text closely examines ideas, analysis, and implementation details of data structures as a specialised topic in applied algorithms. It looks at efficient ways to realise query and update operations on sets of numbers, intervals, or strings by various data structures, including: search trees; structures for sets of intervals or piece-wise constant functions; orthogonal range search structures; heaps; union-find structures; dynamization and persistence of structures; structures for strings; and hash tables. Instead of relegating data structures to trivial material used to illustrate object-oriented programming methodology, this is the first volume to show data structures as a crucial algorithmic topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. W

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local.In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Lo

A groundbreaking, flexible approach to computer science and data scienceThe Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud o

Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps

Data has become a social and political issue because of its capacity to reconfigure relationships between states, subjects, and citizens. This book explores how data has acquired such an important cap

The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.Data scien

Creating Inclusive Schools aims to simplify the dynamic and multidimensional discipline of Inclusive education for the students of education, and trainee and practising teachers. This book focuses on

This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from black-box model identification to parameter estim

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapt

Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are

Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing these ML workloads in an efficient and scala

Reveals the occult wisdom and multidimensional layers of meaning hidden in the Nordic Rune stones • Explores the practice of the Uthark divination system encoded within the traditional exoteric Futhar

In the context of the Sustainable Development Goals (SDGs), the Livingstone declaration, and the UN Social Protection Floor, this book deals jointly with multidimensional child poverty and social prot

Firms are collecting and analyzing customer data at an ever increasing rate in response to evidence that data analytics (precision targeting, improved selling) generates a positive return. Yet e

This book looks at various application and data demand drivers, along with data infrastructure options from legacy on premise, public cloud, hybrid, software-defined data center (SDDC), software data

Haunted Data explores the concepts that are at work in our complex relationships with data. Our engagement with data – big or small – is never as simplistic or straightforward as might first appear. I

This book examines the domain of human agency-environment interaction from a multidimensional point of view. It explores the human-environment interface by analysing its ethical, political and epistem

Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significa

Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significa

While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream managem

"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science

Gain the competitive edge with the innovative training methods in Pilates and Conditioning for Athletes. This science-based, multidimensional approach to athletic conditioning helps you build a strong

What is data governance? And what are the principles and techniques you can leverage as a business or IT professional to make data governance successful within your organization?Data Governance will a

Timely, relevant and extremely student-friendly, Andersen/Hill Collins' RACE, CLASS, AND GENDER: INTERSECTIONS AND INEQUALITIES, 10th edition, equips you with a multidimensional perspective on today's

The generation and use of data in society has seen exponential growth in recent years. The emergent field of data science, concerned with understanding and analyzing this data, can be applied to appli

Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis.Using real-wor

Transportation Science explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, c

Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis.Using real-wor

Data Journalism and the Regeneration of News traces the emergence and flourishing of data journalism through a scholarly lens. It presents evidence of how data journalists are mobilizing discursive, t

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessar

Many librarians' job responsibilities increasingly require them to understand and handle data. Learn how to be an effective data librarian—even if you never expected to need data skills.• Acquaints re

Bringing together important articles from Psychodynamic Psychiatry, this volume shows how contemporary practitioners are using a multidimensional biopsychosocial approach to increase the robustness of

This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and s

The notion of data is increasingly encountered in spatial, creative and cultural studies. Big data and artificial intelligence are significantly influencing a number of disciplines. Processes, methods

This highly practical resource brings new dimensions to the utility of qualitative data in health research by focusing on naturally occurring data. It examines how naturally occurring data complement

This comprehensive textbook deals with multidimensional aspects of macroeconomics through lucid presentation of concepts and critical comparison of different schools of thoughts.Macroeconomi