logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Challenges In Computational Statistics And Data Mining 1st Edition Stan Matwin

  • SKU: BELL-5141474
Challenges In Computational Statistics And Data Mining 1st Edition Stan Matwin
$ 31.00 $ 45.00 (-31%)

4.7

46 reviews

Challenges In Computational Statistics And Data Mining 1st Edition Stan Matwin instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 7.93 MB
Pages: 399
Author: Stan Matwin, Jan Mielniczuk (eds.)
ISBN: 9783319187808, 3319187805
Language: English
Year: 2016
Edition: 1

Product desciption

Challenges In Computational Statistics And Data Mining 1st Edition Stan Matwin by Stan Matwin, Jan Mielniczuk (eds.) 9783319187808, 3319187805 instant download after payment.

This volume contains nineteen research papers belonging to the

areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The

book’s related and often interconnected topics, represent Jacek Koronacki’s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.

Related Products