Data quality is one of the most important problems in data management. A database system typically aims to support the creation, maintenance, and use of large a

Provides an overview of fundamental issues underlying central aspects of data quality - data consistency, data deduplication, data accuracy, data currency, and

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions h

In today's uncertain times, risk has become the biggest part of management. Risk management is central to the science of prediction and decision-making; holisti

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and a