Administrative data are becoming increasingly important. They are typically the side effect of
some operational exercise and are often seen as having significant advantages over …

Much has been written recently about 'Big Data'and the new possibilities that mining this
vast amount of data brings. It promises to help us understand or predict everything from the …

Features a straightforward and concise resource for introductory statistical concepts,
methods, and techniques using R Understanding and Applying Basic Statistical Methods …

The often-perceived limitations of application of image analysis have for many years
impeded the widespread application of such systems as first line characterisation tools …

This introductory statistics textbook for non-statisticians covers basic principles, concepts,
and methods routinely used in applied research. What sets this text apart is the incorporation …

Abstract The WHO Collaborating Centre for International Drug Monitoring in Uppsala,
Sweden, maintains and analyses the world's largest database of reports on suspected …

OBJECTIVE-to assess the extent and types of techniques used to manage quality within
software engineering data sets. We consider this a particularly interesting question in the …

AI-driven journalism refers to various methods and tools for gathering, verifying, producing,
and distributing news information. Their potential is to extend human capabilities and create …

Functional dependencies (FDs) play an important role in maintaining data quality. They can
be used to enforce data consistency and to guide repairs over a database. In this work, we …

The objective of this paper is to consider research progress in the field of software project
economics with a view to identifying important challenges and promising research …