DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-6,Issue-2 ( Feb, 2019 ) | |||||||||
Paper Title |
Adaptive Data Mining Technique in Cloud Computing | |||||||||
Author Name |
Myat Myo Nwe Wai | |||||||||
Affilition |
Faculty of Computer Science, Myanmar Institute of Information Technology Mandalay, Myanmar | |||||||||
Pages |
1-5 | |||||||||
Abstract |
This paper describes which Data Mining technique is more adaptive in cloud computing environment. The supporting of data mining techniques into daily activities has become more adaptive and efficient by reducing time, costs and human effort. The implementation of data mining techniques through Cloud computing will allow users to retrieve meaningful information from virtually integrated data warehouse that reduces the costs of infrastructure and storage. In this paper, we propose to adapt the Random Forest Classifier while extracting the sematic data from unstructured data on the cloud. Our approach extends the original idea of Random Forest Classifier to deal with the data sparseness problem while utilizing clouding computing services. Keywords- Cloud Computing, Data Mining, Random Forest Classifier | |||||||||
| View Paper | ||||||||||
