|
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | IDENTIFICATION OF SPURIOUS PORTRAIT USING ARIMA TECHNIQUES |
| Authors Name: | Ch. Sreeja , Karthika SJ , N. Harika , V. Srija |
| Unique Id: | IJSDR2304309 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | In contemporary technology, online social networking sites (OSNs) are becoming more and more famous, which impacts humans’ social existence and encourages them to hook up with various social networks. Social media platforms are very critical, via which many sports along with promotion, conversation, business enterprise of activities, settings, advertising, and advent of messages have started out to take vicinity. Adding new pals and keeping in touch with them and their updates simply were given simpler. Researchers are analyzing those forms of on-line social networks to look what effect they have on humans. Some malicious applications are used for purposes including records and time table putting. Malicious system detection could be very essential. Machine study-based techniques have been used to become aware of fake accounts that would deceive human beings. The dataset is pre-processed the usage of various Python libraries and a comparison model is obtained to achieve an executable algorithm suitable for the given dataset. Efforts to hit upon fake social media decided by numerous machine mastering algorithms. The category capabilities of Random Forest, Decision Tree algorithms and ARIMA techniques are used to discover fake debts. |
| Keywords: | Online Social Networking sites(OSNs),Arima techniques, Random Forest algorithm, Decision Tree algorithm, spurious portrait, fake accounts, spam, twitter, fake news, spammers ,fake profiles, admin ,data collection, train and test, detection of fake profiles |
| Cite Article: | "IDENTIFICATION OF SPURIOUS PORTRAIT USING ARIMA TECHNIQUES", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1996 - 2001, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304309.pdf |
| Downloads: | 000337211 |
| Publication Details: | Published Paper ID: IJSDR2304309 Registration ID:205477 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 1996 - 2001 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn