A Framework to Channel Undesirable Messages and Pictures from OSN’s Clients Divider

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 3, Issue 1, No 3, 2015.

Copyright: All Rights Reserved ©2015

Year of Publication: 2015

Author: Varsha D. Bagani, Ekta N. Nihalani, Kanchan K. Jadhav, Rekha B. Nirgude

Reference:IJCS-081

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Abstract

One principal issue in today On-line Social Systems (OSNs) is to give clients the capacity to control the messages and images posted all alone private space to dodge that undesirable substance is shown. Up to now OSNs give little backing to this prerequisite. This is accomplished through an adaptable guideline based framework further more, a Machine Learning based delicate classifier consequently marking messages in backing of substance based sifting. In this paper, we likewise propose a novel way to deal with CBIR(Content Based Image Retrieval) framework in view of Genetic Algorithm to channel undesirable pictures.

References

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Keywords

Filtering Rules (FL), Blacklist (BL), Text based(TBIR) and Content based(CBIR), Machine Learning (ML).

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