Process Mining allows organizations to obtain actual business process models from event
logs (discovery), to compare the event log or the resulting process model in the discovery …

Nowadays, the importance of achieving and maintaining a high standard of data quality is
widely recognized by both practitioners and researchers. Based on its impact on …

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Modern artificial intelligence (AI) applications require large quantities of training and test
data. This need creates critical challenges not only concerning the availability of such data …

Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …

This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

Today׳ s supply chain professionals are inundated with data, motivating new ways of
thinking about how data are produced, organized, and analyzed. This has provided an …

Abstract In the Internet of Things (IoT), data gathered from a global-scale deployment of
smart-things, are the base for making intelligent decisions and providing services. If data are …

Luciano Floridi presents an innovative approach to philosophy, conceived as conceptual
design. He explores how we make, transform, refine, and improve the objects of our …