Abstract
This paper is devoted to the study of approximate algorithms for minimization of partial association rule length. It is shown that under some natural assumptions on the class NP, a greedy algorithm is close to the best polynomial approximate algorithms for solving of this NP-hard problem. The paper contains various bounds on precision of the greedy algorithm, bounds on minimal length of rules based on an information obtained during greedy algorithm work, and results of the study of association rules for the most part of binary information systems. © 2009 Springer Berlin Heidelberg.
Original language | English (US) |
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Title of host publication | Rough Sets and Knowledge Technology |
Publisher | Springer Nature |
Pages | 176-183 |
Number of pages | 8 |
ISBN (Print) | 3642029612; 9783642029615 |
DOIs | |
State | Published - 2009 |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science