A survey on trust evaluation based on machine learning

J Wang, X **g, Z Yan, Y Fu, W Pedrycz… - ACM Computing Surveys …, 2020‏ - dl.acm.org
Trust evaluation is the process of quantifying trust with attributes that influence trust. It faces
a number of severe issues such as lack of essential evaluation data, demand of big data …

[HTML][HTML] A roadmap for security challenges in the Internet of Things

AR Sfar, E Natalizio, Y Challal, Z Chtourou - Digital Communications and …, 2018‏ - Elsevier
Unquestionably, communicating entities (object, or things) in the Internet of Things (IoT)
context are playing an active role in human activities, systems and processes. The high …

[HTML][HTML] A data-driven approach to improve customer churn prediction based on telecom customer segmentation

T Zhang, S Moro, RF Ramos - Future Internet, 2022‏ - mdpi.com
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

Information security–Professional perceptions of knowledge-sharing intention under self-efficacy, trust, reciprocity, and shared-language

A Tamjidyamcholo, MSB Baba, H Tamjid… - Computers & …, 2013‏ - Elsevier
Abstract Knowledge sharing is an important component of knowledge management
systems. Security knowledge sharing substantially reduces risk and investment in …

Evaluation model for knowledge sharing in information security professional virtual community

A Tamjidyamcholo, MSB Baba, NLM Shuib… - Computers & …, 2014‏ - Elsevier
Abstract Knowledge sharing has been proven to have affirmative effects on both the
education and business sectors. Nevertheless, many professional virtual communities (PVC) …

A survey on trust prediction in online social networks

SM Ghafari, A Beheshti, A Joshi, C Paris… - IEEE …, 2020‏ - ieeexplore.ieee.org
Level of Trust can determine which source of information is reliable and with whom we
should share or from whom we should accept information. There are several applications for …

[PDF][PDF] Study of gamification effectiveness in online e-learning systems

IV Osipov, E Nikulchev, AA Volinsky… - International …, 2015‏ - pdfs.semanticscholar.org
Online distance e-learning systems allow introducing innovative methods in pedagogy,
along with studying their effectiveness. Assessing the system effectiveness is based on …

Improved churn prediction in telecommunication industry by analyzing a large network

K Kim, CH Jun, J Lee - Expert Systems with Applications, 2014‏ - Elsevier
Customer retention in telecommunication companies is one of the most important issues in
customer relationship management, and customer churn prediction is a major instrument in …

[كتاب][B] Trust in social media

J Tang, H Liu - 2015‏ - books.google.com
Social media greatly enables people to participate in online activities and shatters the
barrier for online users to create and share information at any place at any time. However …

Predicting customer churn through interpersonal influence

X Zhang, J Zhu, S Xu, Y Wan - Knowledge-Based Systems, 2012‏ - Elsevier
Preventing customer churn is an important task for many enterprises and requires customer
churn prediction. This paper investigates the effects of interpersonal influence on the …