%0 Journal Article %1 noauthororeditor %A Felciah, D. Haripriya | Dr. M. Lovelin Ponn %D 2019 %J International Journal of Trend in Scientific Research and Development %K Bagging Bayes Database Heart Miining Naïve WEKA classification diseases mining %N 5 %P 1588-1592 %R https://doi.org/10.31142/ijtsrd26690 %T Ascendable Clarification for Coronary Illness Prediction using Classification Mining and Feature Selection Performances %U https://www.ijtsrd.com/computer-science/data-miining/26690/ascendable-clarification-for-coronary-illness-prediction-using-classification-mining-and-feature-selection-performances/d-haripriya %V 3 %X Coronary disease is predicted by classification technique. The data mining tool WEKA has been exploited for implementing Naïve Bayes classifier. Proposed work is trapped with a specific end goal to enhance the execution of models. For improving the classification accuracy Naïve Bayes is combined with Bagging and Attribute Selection. Trial results demonstrated a critical change over in the current Naïve Bayes classifier. This approach enhances the classification accuracy and reduces computational time. D. Haripriya | Dr. M. Lovelin Ponn Felciah Äscendable Clarification for Coronary Illness Prediction using Classification Mining and Feature Selection Performances" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd26690.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/26690/ascendable-clarification-for-coronary-illness-prediction-using-classification-mining-and-feature-selection-performances/d-haripriya

@article{noauthororeditor, abstract = {Coronary disease is predicted by classification technique. The data mining tool WEKA has been exploited for implementing Naïve Bayes classifier. Proposed work is trapped with a specific end goal to enhance the execution of models. For improving the classification accuracy Naïve Bayes is combined with Bagging and Attribute Selection. Trial results demonstrated a critical change over in the current Naïve Bayes classifier. This approach enhances the classification accuracy and reduces computational time. D. Haripriya | Dr. M. Lovelin Ponn Felciah "Ascendable Clarification for Coronary Illness Prediction using Classification Mining and Feature Selection Performances" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd26690.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/26690/ascendable-clarification-for-coronary-illness-prediction-using-classification-mining-and-feature-selection-performances/d-haripriya }, added-at = {2019-09-12T11:12:36.000+0200}, author = {Felciah, D. Haripriya | Dr. M. Lovelin Ponn}, biburl = {https://www.bibsonomy.org/bibtex/249de07469d1b8fe9b808ca4373f3569b/ijtsrd}, doi = {https://doi.org/10.31142/ijtsrd26690}, interhash = {9add4964a6c7e86107fca5f50611615d}, intrahash = {49de07469d1b8fe9b808ca4373f3569b}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Bagging Bayes Database Heart Miining Naïve WEKA classification diseases mining}, language = {English}, month = aug, number = 5, pages = {1588-1592}, timestamp = {2019-09-12T11:12:36.000+0200}, title = {Ascendable Clarification for Coronary Illness Prediction using Classification Mining and Feature Selection Performances }, url = {https://www.ijtsrd.com/computer-science/data-miining/26690/ascendable-clarification-for-coronary-illness-prediction-using-classification-mining-and-feature-selection-performances/d-haripriya}, volume = 3, year = 2019 }