An Empirical Study for Detecting Fake Facebook Profiles Using Supervised Mining Techniques

Informatica (Slovenia) - Slovenia
doi 10.31449/inf.v43i1.2319
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Slovenian Association Informatika

Related search

A Fast Empirical Method for Detecting Fake News

2019English

Analysing Customer Profiles Using Data Mining Techniques

2012English

Detecting Active Sonar Pulses Using Empirical Bayes Techniques

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
1970English

Detecting Online Spams Through Supervised Learning Techniques

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

An Empirical Study of Application of Data Mining Techniques in Library System

International Journal of Computer Applications
2013English

Mining Students Outcomes: An Empirical Study

International Journal of Computing and Digital Systems
Computer GraphicsHuman-Computer InteractionComputer NetworksCommunicationsInformation SystemsComputer-Aided DesignInnovationManagement of TechnologyArtificial Intelligence
2019English

Empirical Study on Applications of Data Mining Techniques in Healthcare

Journal of Computer Science
Computer NetworksSoftwareArtificial IntelligenceCommunications
2006English

Facebook and Collaborative Learning: An Empirical Study on Online Assessment

International Journal of Learning and Teaching
2018English

Twitter Blogs Mining Using Supervised Algorithm

International Journal of Computer Applications
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy