%0 Journal Article %1 noauthororeditor %A DEVI, Dr.T. ARUMUGA MARIA %A S, Subha Kumar %D 2018 %J International Journal of Research Publication %K Breast Cancer Decision Diagnosis Modeling Packages R Tree of on with %N 100315201878 %P 3 %R 100315201878.pdf %T Diagnosis of Breast Cancer on Decision Tree Modeling with R Packages %V 3 %X This paper attempts to perform breast cancer data analysis using R packages. Decision tree is one of the data mining algorithms for classification due to the reason that it is fast, scalable and distributable. Among many tools available for data analysis, R is observed to be better in analyzing the data as it has become popular among the data analysts recently for the study of large, unstructured and dynamic datasets. The algorithms are studied based on their performance measures such as accuracy and sensitivity. Based on the results, the best classification approach that suits better for cancer data analytics which is proposed through R Packages.

@article{noauthororeditor, abstract = {This paper attempts to perform breast cancer data analysis using R packages. Decision tree is one of the data mining algorithms for classification due to the reason that it is fast, scalable and distributable. Among many tools available for data analysis, R is observed to be better in analyzing the data as it has become popular among the data analysts recently for the study of large, unstructured and dynamic datasets. The algorithms are studied based on their performance measures such as accuracy and sensitivity. Based on the results, the best classification approach that suits better for cancer data analytics which is proposed through R Packages.}, added-at = {2018-05-14T22:06:31.000+0200}, author = {DEVI, Dr.T. ARUMUGA MARIA and S, Subha Kumar}, biburl = {https://www.bibsonomy.org/bibtex/2ccad14713f4f6e9d5ac80727784f0d23/ijrp}, doi = {100315201878.pdf}, interhash = {4652f481ca4c1214177e658098b32f64}, intrahash = {ccad14713f4f6e9d5ac80727784f0d23}, journal = {International Journal of Research Publication}, keywords = {Breast Cancer Decision Diagnosis Modeling Packages R Tree of on with}, language = {English}, month = {April 2018}, number = 100315201878, pages = 3, timestamp = {2018-05-14T22:06:31.000+0200}, title = {Diagnosis of Breast Cancer on Decision Tree Modeling with R Packages}, volume = 3, year = 2018 }