TY - GEN
T1 - Reduct-based analysis of decision algorithms
T2 - 6th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2011
AU - Stańczyk, Urszula
PY - 2011
Y1 - 2011
N2 - Computational stylistics focuses on description and quantifiable expression of linguistic styles of written documents that enables author characterisation, comparison, and attribution. It is a case when observation of subtle relationships in data sets is required, with domain knowledge uncertain. Therefore, techniques from the artificial intelligence area, such as Dominance-based Rough Set Approach (DRSA), are well suited to handle the problem. DRSA enables construction of a rule-based classifier consisting of decision rules, selection of which can greatly influence classification accuracy. The paper presents research on application of DRSA classifier in author recognition for literary texts, with considerations on the classifier performance based on an analysis of relative reducts, such subsets of features that maintain classification properties.
AB - Computational stylistics focuses on description and quantifiable expression of linguistic styles of written documents that enables author characterisation, comparison, and attribution. It is a case when observation of subtle relationships in data sets is required, with domain knowledge uncertain. Therefore, techniques from the artificial intelligence area, such as Dominance-based Rough Set Approach (DRSA), are well suited to handle the problem. DRSA enables construction of a rule-based classifier consisting of decision rules, selection of which can greatly influence classification accuracy. The paper presents research on application of DRSA classifier in author recognition for literary texts, with considerations on the classifier performance based on an analysis of relative reducts, such subsets of features that maintain classification properties.
KW - Classifier
KW - Computational Stylistics
KW - DRSA
KW - Decision Algorithm
KW - Feature Selection
KW - Reduct
UR - https://www.scopus.com/pages/publications/79957896163
U2 - 10.1007/978-3-642-21222-2_36
DO - 10.1007/978-3-642-21222-2_36
M3 - Conference contribution
AN - SCOPUS:79957896163
SN - 9783642212215
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 295
EP - 302
BT - Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings
Y2 - 23 May 2011 through 25 May 2011
ER -