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 …

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 …

Abstract Structural Health Monitoring (SHM) systems have been extensively implemented to
deliver data support and safeguard structural safety in structural integrity management …

Competition in the business world is fierce, and poor decisions can bring disaster to firms,
especially in the big data era. Decision quality is determined by data quality, which refers to …

Data quality and especially the assessment of data quality have been intensively discussed
in research and practice alike. To support an economically oriented management of data …

Data Quality provides an exposé of research and practice in the data quality field for
technically oriented readers. It is based on the research conducted at the MIT Total Data …

In organizations today, the risk of poor information quality is becoming increasingly high as
larger and more complex information resources are being collected and managed. To …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Data quality remains a persistent problem in practice and a challenge for research. In this
study we focus on the four dimensions of data quality noted as the most important to …

In the complex decision-environments that characterize e-business settings, it is important to
permit decision-makers to proactively manage data quality. In this paper we propose a …