Robust Data Mining is popular PDF and ePub book, written by Petros Xanthopoulos in 2012-11-28, 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, Robust Data Mining can be Read Online from any device for your convenience.
Robust Data Mining Book PDF Summary
Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise. This work encapsulates all the latest applications of robust optimization in data mining. This brief contains an overview of the rapidly growing field of robust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems. This brief will appeal to theoreticians and data miners working in this field.
Detail Book of Robust Data Mining PDF
- Author : Petros Xanthopoulos
- Release : 28 November 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781441998781
- Genre : Mathematics
- Total Page : 67 pages
- Language : English
- PDF File Size : 11,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Robust Data Mining by Petros Xanthopoulos, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.