Special Issue: Data Mining and Applications in Engineering Design, Manufacturing and Logistics

Download or Read eBook Special Issue: Data Mining and Applications in Engineering Design, Manufacturing and Logistics PDF written by and published by . This book was released on 2006 with total page 266 pages. Available in PDF, EPUB and Kindle.
Special Issue: Data Mining and Applications in Engineering Design, Manufacturing and Logistics
Author :
Publisher :
Total Pages : 266
Release :
ISBN-10 : OCLC:1074333811
ISBN-13 :
Rating : 4/5 (11 Downloads)

Book Synopsis Special Issue: Data Mining and Applications in Engineering Design, Manufacturing and Logistics by :

Book excerpt:


Special Issue: Data Mining and Applications in Engineering Design, Manufacturing and Logistics Related Books

Special Issue: Data Mining and Applications in Engineering Design, Manufacturing and Logistics
Language: en
Pages: 266
Data Mining and Applications in Engineering Design, Manufacturing and Logistics
Language: en
Pages: 266
Authors: J. C.-X. Feng
Categories:
Type: BOOK - Published: 2006 - Publisher:

DOWNLOAD EBOOK

Data Mining for Design and Manufacturing
Language: en
Pages: 530
Authors: D. Braha
Categories: Computers
Type: BOOK - Published: 2013-03-14 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Data Mining for Design and Manufacturing: Methods and Applications is the first book that brings together research and applications for data mining within desig
Data Mining
Language: en
Pages: 0
Authors: Yong Yin
Categories: Computers
Type: BOOK - Published: 2014-11-26 - Publisher: Springer

DOWNLOAD EBOOK

Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineerin
Data Mining for Scientific and Engineering Applications
Language: en
Pages: 632
Authors: R.L. Grossman
Categories: Computers
Type: BOOK - Published: 2001-10-31 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial ch