TY - GEN
T1 - Instance selection in logical rule extraction for regression problems
AU - Kordos, Mirosław
AU - Białka, Szymon
AU - Blachnik, Marcin
PY - 2013
Y1 - 2013
N2 - The paper presents three algorithms of instance selection for regression problems, which extend the capabilities of the CNN, ENN and CA algorithms used for classification tasks. Various combinations of the algorithms are experimentally evaluated as data preprocessing for regression tree induction. The influence of the instance selection algorithms and their parameters on the accuracy and rules produced by regression trees is evaluated and compared to the results obtained with tree pruning.
AB - The paper presents three algorithms of instance selection for regression problems, which extend the capabilities of the CNN, ENN and CA algorithms used for classification tasks. Various combinations of the algorithms are experimentally evaluated as data preprocessing for regression tree induction. The influence of the instance selection algorithms and their parameters on the accuracy and rules produced by regression trees is evaluated and compared to the results obtained with tree pruning.
UR - https://www.scopus.com/pages/publications/84884387551
U2 - 10.1007/978-3-642-38610-7_16
DO - 10.1007/978-3-642-38610-7_16
M3 - Conference contribution
AN - SCOPUS:84884387551
SN - 9783642386091
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 167
EP - 175
BT - Artificial Intelligence and Soft Computing - 12th International Conference, ICAISC 2013, Proceedings
T2 - 12th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2013
Y2 - 9 June 2013 through 13 June 2013
ER -