Predictive Analytics: Cloud Computing

The increasing use of computing machine in our day to day lives, and our dependence on them has created a demand for better, reliable and efficient machines which can help in making our decisions better. Predictive analysis one of such field of computer science and data engineering which generally predicts some occurrence or probability of some event based upon its previous data. Predictive analytics uses data-mining techniques in order to make predictions about future events, and make recommendations based on these predictions. The process involves an analysis of historic data and based on that analysis to predict the future occurrences or events. There are some models designed for the same which involve rigorous data analysis, and are widely used in business for segmentation and decision making. The predictive models make it possible to make more right decisions, more quickly, and with less expense. They can provide support for human decisions, making them more efficient and effective, or in some cases, they can be used to automate an entire decision-making process. The Big Data phenomenon, ever-improving tools for data analysis, and a steady stream of demonstrated successes in new applications. In this study, we analyze data related to cloud computing, big data and application of machine learning techniques in data mining to predict the demand of cloud recourses by the users in future