Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predicting heart ailment in patients with varying number of features using data mining techniques Subject The topic of the resource Data mining; Heart ailments; Nae bayes classifier; Random forest; Random tree Description An account of the resource Data mining can be defined as a process of extracting unknown, verifiable and possibly helpful data from information. Among the various ailments, heart ailment is one of the primary reason behind death of individuals around the globe, hence in order to curb this, a detailed analysis is done using Data Mining. Many a times we limit ourselves with minimal attributes that are required to predict a patient with heart disease. By doing so we are missing on a lot of important attributes that are main causes for heart diseases. Hence, this research aims at considering almost all the important features affecting heart disease and performs the analysis step by step with minimal to maximum set of attributes using Data Mining techniques to predict heart ailments. The various classification methods used are Nae Bayes classifier, Random Forest and Random Tree which are applied on three datasets with different number of attributes but with a common class label. From the analysis performed, it shows that there is a gradual increase in prediction accuracies with the increase in the attributes irrespective of the classifiers used and Nae Bayes and Random Forest algorithms comparatively outperforms with these sets of data. 2019 Institute of Advanced Engineering and Science. Creator An entity primarily responsible for making the resource Stella Mary T.R.; Sebastian S. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-9, No. 4, pp. 2675-2681. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v9i4.pp2675-2681" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v9i4.pp2675-2681</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066249783&amp;doi=10.11591%2Fijece.v9i4.pp2675-2681&amp;partnerID=40&amp;md5=50ef94dbc71ff4ba1bcc9d49586fbce4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066249783&amp;doi=10.11591%2fijece.v9i4.pp2675-2681&amp;partnerID=40&amp;md5=50ef94dbc71ff4ba1bcc9d49586fbce4</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Stella Mary T.R., Department of Computer Science, Christ University, India; Sebastian S., Department of Computer Science, Christ University, India