Analysis of Data in Cloud Computing Environments

Abstract

Data mining is extracting the information from large amount of data which stores in multiple horizontally and vertically partitioned databases. The information conveying the message direct or indirect. In this paper we combined the concept of association rule mining (Data Mining Techniques) with the cloud computing for analyzing the large amount of data base that is horizontally distributed in cloud environment. As we know that the cloud computing is upcoming techniques that offers the tremendous advantages in economical aspect, such as reduce the time of market, flexible computing capabilities and limitless computing power. To use the full potential of cloud computing the data is transferred, processed and stored by external cloud providers. Cloud computing has benefited the IT industries with less infrastructure investments and maintenance. As cloud provides the services like infrastructure as a service (IAAS), platform as a service (PAAS) and software as a service (SAAS) to its clients. The privacy is an essential service to provide in private and public cloud environments where the data can be easily hacked or tempered. In this paper aims to analyze the large amount by using the three main association rule mining techniques support, confidence and lift/importance and also provide the high privacy to all the cloud owner or provider using the hash function in cloud computing environments with zero percentage of data leakage and last in this paper we shows the comparison result of different privacy preserving techniques secure sum, secure subtraction, secure multiplication, secure union and secure intersection on the same horizontally partitioned database in cloud environments.