The week's pick
Reseach Article
A Literature Review on Supervised Machine Learning Algorithms and Boosting Process
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 169 - Number 8 |
| Year of Publication: 2017 |
| Authors: M. Praveena, V. Jaiganesh |
10.5120/ijca2017914816
|
M. Praveena, V. Jaiganesh . A Literature Review on Supervised Machine Learning Algorithms and Boosting Process. International Journal of Computer Applications. 169, 8 ( Jul 2017), 32-35. DOI=10.5120/ijca2017914816
Abstract
Data mining is one amid the core research areas in the field of computer science. Yet there is a knowledge data detection process helps the data mining to extract hidden information from the dataset there is a big scope of machine learning algorithms. Especially supervised machine learning algorithms gain extensive importance in data mining research. Boosting action is regularly helps the supervised machine learning algorithms for rising the predictive / classification veracity. This survey research article prefer two famous supervised machine learning algorithms that is decision trees and support vector machine and presented the recent research works carried out. Also recent improvement on Adaboost algorithms (boosting process) is also granted. From this survey research it is learnt that connecting supervised machine learning algorithm with boosting process increased prediction efficiency and there is a wide scope in this research element.
References
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