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Two families of classification algorithms
Conference proceeding   Peer reviewed

Two families of classification algorithms

Pawel Delimata, Mikhail Moshkov, Andrzej Skowron and Zbigniew Suraj
ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, PROCEEDINGS, Vol.4482, pp.297-304
Lecture Notes in Artificial Intelligence
01/01/2007
DOI: https://doi.org/10.1007/978-3-540-72530-5_35

Abstract

Computer Science Computer Science, Artificial Intelligence Science & Technology Technology
In the paper, two families of lazy classification algorithms of polynomial time complexity are considered. These algorithms are based on ordinary and inhibitory rules, but the direct generation of rules is not required. Instead of this, the considered algorithms extract efficiently for a new object some information on the set of rules which is next used by a decision-making procedure.

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