Uncertainty Handling and Quality Assesment in Data Mining (Advanced Information and Knowledge Processing)
Автор:Michalis Vazirgiannis, Maria Halkidi, Dimitrios Gunopulos, MICHALIS VAZIRIGIANNIS, MARIAM HALKIDI Год: [не указано] Издание: [не указанo] Страниц: [не указано] ISBN: 1852336552 Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveiling and handling uncertainty. Coverage of quality assessment begins with an introduction to cluster analysis and a comparison of the methods and approaches that may be used. The techniques and algorithms involved in other essential data mining tasks, such as classification and extraction of association rules, are also discussed together with a review of the quality criteria and techniques for evaluating the data mining results. This book presents a general framework for assessing quality and handling uncertainty which is based on tested concepts and theories. This framework forms the basis of an implementation tool, 'Uminer' which is introduced to the reader for the first time. This tool supports the key data mining tasks while...
