Quaternion-Sparse Image Processing: Advances in Multispectral Processing brings together the technologies, research, and managerial applications of quaternion-sparse based complex algebra in image processing.
Easily Use SAS to Produce Your GraphicsDiagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data.
Developed by Jean-Paul Benzerci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe.
Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models.
Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models.
Explore the Important Role that the Semantics of Land Use and Land Cover Plays within a Broader Environmental ContextFocused on the information semantics of land use and land cover (LULC) and providing a platform for reassessing this field, Land Use and Land Cover Semantics: Principles, Best Practices, and Prospects presents a comprehensive overview of fundamental theories and best practices for applying semantics in LULC.
Kiko Llaneras is one of the most consistently interesting data journalists to have emerged in the last decade John Burn-Murdoch, Chief data reporter, Financial TimesIt s almost impossible to feel confident we ve made the right choice when we are constantly faced with conflicting data.
30-Second Data Scienceis the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives.
Containing more than 300 equations and nearly 500 drawings, photographs, and micrographs,this reference surveys key areas such as optical measurements and in-line calibration methods.
Data Alchemy in the Insurance Industry: The Transformative Power of Big Data Analytics is a groundbreaking work that explores the transformative power of big data analytics within the insurance industry.
Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher returns for their shareholders.
Introduction: Elevate Your Analytics with PythonIn today's data-driven world, the ability to efficiently analyze and interpret information is more crucial than ever, especially in the business sector.
Artificial Intelligence in Forensic Science addresses the current and emerging opportunities being utilized to apply modern Artificial Intelligence (AI) technologies to current forensic and investigation practices.
Geared to intermediate- to advanced-level DBAs and IT professionals looking to enhance their MySQL skills, this guide provides a comprehensive overview on how to manage and optimize MySQL databases.
This guide explains how to gain a handle on the vital aspects of data protection, offering a solid understanding of how data protection fits into various organizations.
This book presents common techniques used in numerous models, algorithms, and tools developed during the last decade to implement desktop grid computing.
Assessing how Asia and the Pacific can benefit from stronger tax systems, this comparative analysis drills down into the set-ups and performance of revenue bodies in 41 economies to highlight reform challenges and outline opportunities.
Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics.
Describing state-of-the-art solutions in distributed system architectures, Integration of Services into Workflow Applications presents a concise approach to the integration of loosely coupled services into workflow applications.
This edited collection provides an overview of the recent developments in computational social science related to China studies and presents interdisciplinary empirical work from diverse scholars on culture, public opinion, and education using advanced computational methods and big data.
