Using decision tree for diagnosing heart disease patients, Proc. of 9th Australasian Data Mining Conference, pp.23-30, 2011. ,
A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), pp.825-830, 2016. ,
DOI : 10.1109/ICMLA.2016.0148
URL : https://kclpure.kcl.ac.uk/portal/files/73654164/Paper_A_PredictionModelling_and_PatternDetectionApproach_for_the_FirstEpisodePsychosisAssociated_to_CannabisUse.pdf
, Data Mining Concepts and Techniques, pp.279-328, 2011.
Data mining, ACM SIGMOD Record, vol.31, issue.1, 2016. ,
DOI : 10.1145/507338.507355
Induction of decision trees, Machine Learning, pp.81-106, 1986. ,
DOI : 10.1037/13135-000
URL : https://link.springer.com/content/pdf/10.1007%2FBF00116251.pdf
Introduction to Data Mining, 2005. ,
Classification and regression trees, Machine Learning, 1984. ,
A further comparison of splitting rules for decision-tree induction, Machine Learning, pp.75-85, 1992. ,
DOI : 10.1111/j.1469-1809.1936.tb02137.x
The importance of attribute selection measures in decision tree induction, Machine Learning, 1994. ,
DOI : 10.1007/BF01000407
Permutation Tests for Studying Classifier Performance, 2009 Ninth IEEE International Conference on Data Mining, pp.1833-1863, 2010. ,
DOI : 10.1109/ICDM.2009.108
Permutation tests: a practical guide to resampling methods for testing hypotheses; Springer series in statistics, 2000. ,
Comparison of Shannon, Renyi and Tsallis Entropy Used in Decision Trees, Artificial Intelligence and Soft Computing?ICAISC, pp.643-651, 2008. ,
DOI : 10.1007/978-3-540-69731-2_62
Theoretical Comparison between the Gini Index and Information Gain Criteria, Annals of Mathematics and Artificial Intelligence, vol.41, issue.1, p.7793, 2004. ,
DOI : 10.1023/B:AMAI.0000018580.96245.c6
The role of constraints within generalised non-extensive statistics, pp.534-554, 1998. ,
, A Generalization of Conditional Entropy, 2018.
Applied Predictive Modelling, 2013. ,
The WEKA Workbench, Online Appendix for Data Mining: Practical Machine Learning Tools and Techniques, 2016. ,
, UCI machine learning repository: Datasets, https, pp.2017-2018
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark, Pattern Recognition Letters, vol.28, issue.12, pp.1438-1444, 2007. ,
DOI : 10.1016/j.patrec.2007.02.014
Design of experiments of the nips 2003 variable selection benchmark, 2003. ,
Result analysis of the nips 2003 feature selection challenge, in Advances in neural information processing systems, pp.545-552, 2005. ,
Correlation-based feature ranking for online classification, in Systems, Man and Cybernetics, pp.3077-3082, 2009. ,
DOI : 10.1109/icsmc.2009.5346141
Elisseeff, A: An introduction to feature extraction, Feature extraction, pp.1-25, 2006. ,