"Quality Measures in Data Mining" is a specialized book that focuses on analyzing large datasets to discover knowledge relevant to decision-making processes. In today's data-driven world, it is crucial to extract high-quality information from the data collected. This book addresses the challenges associated with selecting knowledge and provides a comprehensive overview of current developments in the field of quality and interest measurements in data mining. The chapters included cover both theoretical and practical approaches, including surveys, comparative studies of existing measurements, proposals for new measurements, as well as simulations and case studies. The contributions have been reviewed for accuracy and completeness by an international review committee, highlighting the scientific integrity of the work.