A Survey on Cloud Data Fetching Techniques and Feature Sets

摘要

Data storage and fetching algorithm are very useful in a cloud environment to generate a unique pattern from the raw dataset. A number of researchers have proposed different techniques for the processing of raw datasets to extract information. In these algorithms, input is user data output is feature set result in the form of a pattern, cluster, class, etc. This paper introduces some algorithms developed by the researcher to drive information from data. The paper throw light on implementation area of data storage techniques, type of features and there requirement in a different dataset. Evaluation parameter for the analysis of prediction, classification, clustering algorithms as well.