@article{MAKHILLAJ202015520707,
    title = {Deduplication Process in Secure Distributed Cloud Environment},
    journal = {Agricultural Journal},
    volume = {15},
    number = {5},
    pages = {86-90},
    year = {2020},
    issn = {1816-9155},
    doi = {aj.2020.86.90},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9155&doi=aj.2020.86.90},
    author = {P.},
    keywords = {AGP,deduplication,machine learning,ranking functions,Secure cloud},
    abstract = {The problem of reliability auditing and
protected deduplication on reasoning information.
Particularly, seeking at achieving both information
reliability and deduplication in reasoning, we propose two
protected techniques, namely SecCloud and SecCloud<sup>+</sup>.
SecCloud presents an review enterprise with a servicing
of a MapReduce reasoning which helps clients produce
information labels before uploading as well as review the
reliability of information having been stored in reasoning.
In comparison with past work, the calculations by user in
SecCloud is decreased during the data file posting and
auditing stages. SecCloud is developed inspired by the
fact that customers always want to secure their
information before posting and allows reliability review
and protected deduplication on encrypted data. So,
propose to use active learning genetic programming
mechanism a query-dependent record matching method
that requires semi supervised data set. Active learning
approach is used in AGP in which a committee of multi
attribute functions votes for classifying record pairs as
duplicates or not. Quality of record can show the results
of AGP deduplication while reducing the number of
labeled examples was needed.}
    }