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

Uncertainty In Multisource Databases 1st Edition Dr Premchand S Nair Auth

  • SKU: BELL-4200756
Uncertainty In Multisource Databases 1st Edition Dr Premchand S Nair Auth
$ 31.00 $ 45.00 (-31%)

5.0

88 reviews

Uncertainty In Multisource Databases 1st Edition Dr Premchand S Nair Auth instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 2.63 MB
Pages: 188
Author: Dr. Premchand S. Nair (auth.)
ISBN: 9783540370994, 9783642057052, 3540370994, 3642057055
Language: English
Year: 2003
Edition: 1

Product desciption

Uncertainty In Multisource Databases 1st Edition Dr Premchand S Nair Auth by Dr. Premchand S. Nair (auth.) 9783540370994, 9783642057052, 3540370994, 3642057055 instant download after payment.

Database and database systems have become an essential part of everyday life, such as in banking activities, online shopping, or reservations of airline tickets and hotels. These trends place more demands on the capabilities of future database systems, which need to evolve into decision making systems based on data from multiple sources with varying reliability. In this book a model for the next generation of database systems is presented. It is demonstrated how to quantize favorable and unfavorable qualitative facts so that they can be stored and processed efficiently, as well as how to use the reliability of the contributing sources in our decision makings. The concept of a confidence index set (ciset), is introduced in order to mathematically model the above issues. A simple introduction to relational database systems is given allowing anyone with no background in database theory to appreciate the further contents of this work, especially the extended relational operations and semantics of the ciset relational database model.

Related Products