Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional ac
Gain the basics of Ruby’s map, reduce, and select functions and discover how to use them to solve data-processing problems. This compact hands-on book explains how you can encode certain complex progr
The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of
Acquisition and Processing of Marine Seismic Data demonstrates the main principles, equipment required and suitable selection parameters in 2D/3D marine seismic data acquisition. It also examines theo
Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Da
This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance
This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore
"Moving can be a big deal for anyone. But, immigrants to the United States really went the distance. Why did they decide to come? How did they travel? What happened when they arrived? Data is in the d
Praise for the First Edition:“DNP students may struggle with data management, since their projects are not research, but quality improvement, and this book covers the subject well. I recommend it for
Predictive Analytics has revolutionised marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current
Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional ac
This book will be a “must” for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working
Markets have long been acknowledged to be a superior mechanism for managing resources but until the advent of big data, they largely functioned better in theory than in practice. Now, as ideal markets
This volume treats the evolution of the object of metaphysics from being to the concept of being to, finally, the object. It examines metaphysics and ontology, and the history of these terms. It is re
A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual fo
A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise.
This long-anticipated textbook is currently the most up-to-date resource on chemometrics and Multivariate Data Analysis (MVA). The field of chemometrics is the application of multivariate data analysi
Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. The bo
The third edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis. The book succinctly illustrates the various paths leading
This is the first end-to-end, full-color guide to telling powerful, actionable data stories using Tableau, the world’s #1 visualization software. Renowned expert Lindy Ryan shows you how to comm
Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the worl
This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filte
Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data
For undergraduate and graduate courses in Business Data Communication / Networking (MIS). Prepare for the modern workplace with networking and security essentials With a clear writing style
Spark for Data Professionals introduces and solidifies the concepts behind Spark 2.x, teaching working developers, architects, and data professionals exactly how to build practical Spark solutions. Je
As part of the best selling Pocket Primer series, this book is an effort to give programmers sufficient knowledge of data cleaning to be able to work on their own projects. It is designed as a practic
Author Mani Mahjouri created a technology called QuantVR that produces breathtaking visualizations of highly complex phenomena involving markets. With Data Visualization for Traders, he shows traders
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
See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they w
The ability to gather data that can be crunched by machines is valuable for studying society. The new methods needed to work it require new skills and new ways of thinking about best research practice
This is a two-volume set. Guide to Data Analytics : Designed to facilitate the use of audit data analytics (ADAs) in the financial statement audit, this title was developed by leading expert
"This book presents the concepts of big data, explores its analytics and technologies and their applications and develops an understanding of issues pertaining to the use of big data in multidisciplin
