logo
Product categories

EbookNice.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://ebooknice.com/page/post?id=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.

EbookNice Team

(Ebook) Spectral Feature Selection for Data Mining by Zheng Alan Zhao (Author); Huan Liu (Author) ISBN 9780429107191, 9781000023046, 9781000023077, 9781138112629, 9781439862094, 9781439862100, 0429107196, 1000023044, 1000023079

  • SKU: EBN-12051458
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

37 reviews
Instant download (eBook) Spectral Feature Selection for Data Mining after payment.
Authors:Zheng Alan Zhao (Author); Huan Liu (Author)
Pages:0 pages.
Year:2011
Editon:1
Publisher:Chapman and Hall/CRC
Language:english
File Size:12.78 MB
Format:pdf
ISBNS:9780429107191, 9781000023046, 9781000023077, 9781138112629, 9781439862094, 9781439862100, 0429107196, 1000023044, 1000023079
Categories: Ebooks

Product desciption

(Ebook) Spectral Feature Selection for Data Mining by Zheng Alan Zhao (Author); Huan Liu (Author) ISBN 9780429107191, 9781000023046, 9781000023077, 9781138112629, 9781439862094, 9781439862100, 0429107196, 1000023044, 1000023079

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products