A Modern Cyclic Approach to Solve a Classification Problem in Cloud Environment

As the trend changes, the data can be transit through small hand hold devices, though the small hand hold devices are being used by the users and providing simple portability, but these devices are isolate unless they connected via network. The Clouds provide more services than the hand hold devices. Through this paper, we propose A Modern Cyclic Approach to solve a Classification Problem in Cloud Environment (MCACPCE), in the area of Data Mining. Because the data warehouses are utilizing the virtualized IaaS cloud. That is, the data warehouses are accommodating in the clouds and utilizing services of cloud. We are more concentrated on classification problem in the area of data mining, for the virtual data warehouses. In the cloud hosted data warehouses the current test data set will become as training data set after some period of time. Hence we introduced the post-mortem technique on the classification model to know the facts, how good the model is induced to classify the data set from the training data set. To induce a good and an efficient classification model, the model must undergo the post-mortem operation to know the reality of the classification. The test data set must undergo the pre-processing operation to make the data set pure and clean. This process must done cyclically.