Data Mining Techniques for Cloud Technology

Abstract: Over the past few years, Cloud Computing retrieves required data from the huge database with lesser amount of time becomes tedious. Hence without having a proper cache management framework the retrieval of required data from the cloud data servers becomes difficult. Here this paper suggest a probabilistic framework for efficient retrieval of data from huge database using combined approach of caching and frequent transaction analysis. A novel method of cache management is used to serve the cloud user effectively. A Derived Cluster which is created in online mode, acts as cache which holds the frequent transactions for downloading required data quickly. Frequent transactions are identified based on the run time statistics of the transaction. We have implemented the model in a cloud environment and the experimental results show that our approach is more efficient than the existing search technology and increases throughput by handling more number of transactions efficiently with reduced latency.

Keywords: Cloud Computing, Data mining, frequent Item sets, cloud storage, and clustering.