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

New Frontiers In Mining Complex Patterns 1st Ed Annalisa Appice

  • SKU: BELL-7150180
New Frontiers In Mining Complex Patterns 1st Ed Annalisa Appice
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

New Frontiers In Mining Complex Patterns 1st Ed Annalisa Appice instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 14.09 MB
Author: Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
ISBN: 9783319786797, 9783319786803, 3319786792, 3319786806
Language: English
Year: 2018
Edition: 1st ed.

Product desciption

New Frontiers In Mining Complex Patterns 1st Ed Annalisa Appice by Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras 9783319786797, 9783319786803, 3319786792, 3319786806 instant download after payment.

This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.
The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics.

Related Products