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) Knowledge Discovery from Sensor Data (Industrial Innovation) by Auroop R. Ganguly, Joao Gama, Olufemi A. Omitaomu, Mohamed Medhat Gaber, Ranga Raju Vatsavai ISBN 9781420082333, 1420082329

  • SKU: EBN-2187380
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.6

30 reviews
Instant download (eBook) Knowledge Discovery from Sensor Data (Industrial Innovation) after payment.
Authors:Auroop R. Ganguly, Joao Gama, Olufemi A. Omitaomu, Mohamed Medhat Gaber, Ranga Raju Vatsavai
Pages:215 pages.
Year:2008
Editon:1
Publisher:CRC Press
Language:english
File Size:5.0 MB
Format:pdf
ISBNS:9781420082333, 1420082329
Categories: Ebooks

Product desciption

(Ebook) Knowledge Discovery from Sensor Data (Industrial Innovation) by Auroop R. Ganguly, Joao Gama, Olufemi A. Omitaomu, Mohamed Medhat Gaber, Ranga Raju Vatsavai ISBN 9781420082333, 1420082329

As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. It discusses the challenges and requirements for sensor data based knowledge discovery solutions in high-priority application illustrated with case studies. It explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products