A Survey on Cloud Data Fetching Techniques and Feature Sets
|© 2021 by IJCTT Journal|
|Year of Publication : 2021|
|Authors : Amit Kumar Jha, Dr.Megha Kamble|
|DOI : 10.14445/22312803/IJCTT-V69I5P106|
How to Cite?
Amit Kumar Jha, Dr.Megha Kamble, "A Survey on Cloud Data Fetching Techniques and Feature Sets," International Journal of Computer Trends and Technology, vol. 69, no. 5, pp. 45-49, 2021. Crossref, https://doi.org/10.14445/22312803/IJCTT-V69I5P106
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.
Cloud computing, Data Fetching, Data Storage, Feature Extraction, Genetic algorithm, Neural Network.
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