This volume presents the state of the art concerning quality and interestingness measures for data mining the book summarizes recent developments and presents original research on this topic the chapters include surveys comparative studies of existing measures proposals of new measures simulations and case studies. Quality measures in data mining studies in computational intelligence fabrice guillet howard j hamilton on amazoncom free shipping on qualifying offers this book presents recent advances in quality measures in data mining. Interestingness measures play an important role in data mining regardless of the kind of patterns being mined good measures should select and rank patterns according to their potential interest . Introduction to data mining by pang ning tan michael steinbach vipin kumar paperback new brand new well packed usually ships in 1 2 business days expedited shipping within us canada uk and other eu countries will arrive in 3 5 days black white or colour international edition the international edition will has different isbn and cover design from us edition occasionally . In this paper we introduce data quality mining dqm as a new and promising data mining approach from the academic and the business point of view the goal of dqm is to employ data mining methods in order to detect quantify explain and correct data quality deficiencies in very large databases data quality is crucial for
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