ISBN-13: 9780805840810 / Angielski / Twarda / 2003 / 720 str.
ISBN-13: 9780805840810 / Angielski / Twarda / 2003 / 720 str.
This handbook was created with the input of an international board of 14 who represented some of the foremost authorities in data mining from academia and industry. The figures and tables included in the handbook illustrate the concept, methods and tools of data mining and references provide a road map for further in-depth study of any of the data mining concepts and methods. Thirteen of the chapters in the book deal with the methodologies of data mining; six chapters deal with how to manage data mining for maximizing outcome utility. Finally nine chapters illustrate the methods and processesutilized for diversified data mining applications. This work should be useful to both deveopers of data mining methods and tools and to those who want to use data mining in order to derive scientific inferences relating to specific domains where extensive data is available in scattered reports and publications.