Abstract
This article is motivated by internet security applications of multiple classifiers designed for the detection of malware. Following a standard approach in data mining, Dazeley et al. (Asian-European J. Math. 2 (2009)(1) 4156) used Gröbner-Shirshov bases to define a family of multiple classifiers and develop an algorithm optimizing their properties. The present article complements and strengthens these results. We consider a broader construction of classifiers and develop a new and more general algorithm for the optimization of their essential properties.
| Original language | English |
|---|---|
| Pages (from-to) | 435-442 |
| Number of pages | 8 |
| Journal | Asian-European Journal of Mathematics |
| Volume | 3 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 2010 |
| Externally published | Yes |
Keywords
- data mining
- Gröbner-Shirshov bases
- internet security
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