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Mental Disorder Prevention on Social Network with Supervised Learning Based Amoeba Optimization

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Mental Disorder Prevention on Social Network with Supervised Learning Based Amoeba Optimization


Swati Dubey | Dr. Rajesh Kumar Shukla



Swati Dubey | Dr. Rajesh Kumar Shukla "Mental Disorder Prevention on Social Network with Supervised Learning Based Amoeba Optimization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.1198-1201, URL: https://www.ijtsrd.com/papers/ijtsrd25107.pdf

Informal community clients guess the interpersonal organizations that they use to preserve their protection. Be that as it may, in online interpersonal organizations, protection ruptures are not really. In this proposed, first classifies to secure the buyer that occur in online informal communities. Our proposed methodology depends on specialist based portrayal of an informal organization, where the operators handle clients' seclusion prerequisites by making duties with the framework. The prevailing limit through exchange learning and highlight Convolution Neural Network (CNN) have expected developing significance inside the PC vision network, so creation a progression of noteworthy leaps forward in basic leadership. In like manner it is a significant procedure with the end goal of how to be pertinent CNN to basic leadership for better execution. Or maybe, by and by prescribe an AI framework, to be express, Social Network Mental Disorder Detection (SNMDD), that misuses features isolated from natural association data log record to exactly perceive potential cases of SNMDs. We furthermore misuse multi-source learning in SNMDD and propose another Supervised Learning with Amoeba Optimization (SLAO) to improve the precision. To extend the adaptability of SMM, we further improve the efficiency with execution guarantee.

online social networks, Cyber-Relationship Addiction, Information Overload and Net Compulsion, SNMDs, SLAO


IJTSRD25107
Volume-3 | Issue-4, June 2019
1198-1201
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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