A Review On Different Prediction based model for cloud-based data mining

Cloud-based healthcare data mining framework. Under such framework, various cloud based healthcare data mining services can be developed, deployed, and provisioned to the general healthcare industry for knowledge discovery and decision-making support. In our proposed framework, 1) population-level healthcare data scattered across disparate local data sources are integrated, which provides abundant data for the data mining process; 2) computational infrastructure and resources can be delivered by cloud computing platforms in a reliable, scalable, and cost-effective manner, which satisfies the computational and financial requirement for building healthcare data mining services; 3) the service development process is modularized, which makes the service development, update, and maintenance easier and faster; 4) the healthcare data mining services are deployed and provisioned to the healthcare practitioners as either cloud applications or web services, which ensures high service accessibility. KeywordsFLOS, Cloud, Random Forest, Gradient Boosting.