Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/52080| Title: | A new approach to reduction of large data set |
| Authors: | Viattchenin, D. A. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2013 |
| Publisher: | Minsk : Publ. center of BSU |
| Citation: | Computer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. Vol 2. — Minsk, 2013. - P. 143-146 |
| Abstract: | The paper deals with the problem of the large data reduction. The proposed approach is based on reduction of the number of objects in the initial large data set and representation of each new object from the reduced data set as a vector of intervals. An illustrative example is given and preliminary conclusions are formulated. |
| URI: | http://elib.bsu.by/handle/123456789/52080 |
| Appears in Collections: | 2013. Computer Data Analysis and Modeling. Vol 2 Vol. 2 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 143-146.pdf | 431,85 kB | Adobe PDF | View/Open |
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