Data Mining Foundations and Practice is popular PDF and ePub book, written by Tsau Young Lin in 2008-08-20, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Data Mining Foundations and Practice can be Read Online from any device for your convenience.
Data Mining Foundations and Practice Book PDF Summary
The IEEE ICDM 2004 workshop on the Foundation of Data Mining and the IEEE ICDM 2005 workshop on the Foundation of Semantic Oriented Data and Web Mining focused on topics ranging from the foundations of data mining to new data mining paradigms. The workshops brought together both data mining researchers and practitioners to discuss these two topics while seeking solutions to long standing data mining problems and stimul- ing new data mining research directions. We feel that the papers presented at these workshops may encourage the study of data mining as a scienti?c ?eld and spark new communications and collaborations between researchers and practitioners. Toexpressthevisionsforgedintheworkshopstoawiderangeofdatam- ing researchers and practitioners and foster active participation in the study of foundations of data mining, we edited this volume by involving extended and updated versions of selected papers presented at those workshops as well as some other relevant contributions. The content of this book includes st- ies of foundations of data mining from theoretical, practical, algorithmical, and managerial perspectives. The following is a brief summary of the papers contained in this book.
Detail Book of Data Mining Foundations and Practice PDF
- Author : Tsau Young Lin
- Release : 20 August 2008
- Publisher : Springer Science & Business Media
- ISBN : 9783540784876
- Genre : Mathematics
- Total Page : 562 pages
- Language : English
- PDF File Size : 21,7 Mb
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