TY - GEN
T1 - Decision Rules, Trees and Tests for Tables with Many-valued Decisions–comparative Study
AU - Azad, Mohammad
AU - Zielosko, Beata
AU - Moshkov, Mikhail
AU - Chikalov, Igor
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2013/10/4
Y1 - 2013/10/4
N2 - In this paper, we present three approaches for construction of decision rules for decision tables with many-valued decisions. We construct decision rules directly for rows of decision table, based on paths in decision tree, and based on attributes contained in a test (super-reduct). Experimental results for the data sets taken from UCI Machine Learning Repository, contain comparison of the maximum and the average length of rules for the mentioned approaches.
AB - In this paper, we present three approaches for construction of decision rules for decision tables with many-valued decisions. We construct decision rules directly for rows of decision table, based on paths in decision tree, and based on attributes contained in a test (super-reduct). Experimental results for the data sets taken from UCI Machine Learning Repository, contain comparison of the maximum and the average length of rules for the mentioned approaches.
UR - http://hdl.handle.net/10754/552480
UR - http://linkinghub.elsevier.com/retrieve/pii/S1877050913008776
UR - http://www.scopus.com/inward/record.url?scp=84896952879&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2013.09.084
DO - 10.1016/j.procs.2013.09.084
M3 - Conference contribution
SP - 87
EP - 94
BT - Procedia Computer Science
PB - Elsevier BV
ER -