An efficient hybrid system for anomaly detection in social networks
Anomaly detection has been an essential and dynamic research area in the data mining. A
wide range of applications including different social medias have adopted different state-of …
wide range of applications including different social medias have adopted different state-of …
Follower link prediction using the XGBoost classification model with multiple graph features
Abstract The Follower Link Prediction is an emerging application preferred by social
networking sites to increase their user network. It helps in finding potential unseen individual …
networking sites to increase their user network. It helps in finding potential unseen individual …
Community detection with dependent connectivity
Community detection with dependent connectivity Page 1 The Annals of Statistics 2021, Vol. 49,
No. 4, 2378–2428 https://doi.org/10.1214/20-AOS2042 © Institute of Mathematical Statistics …
No. 4, 2378–2428 https://doi.org/10.1214/20-AOS2042 © Institute of Mathematical Statistics …
A novel link prediction method for opportunistic networks based on random walk and a deep belief network
Z Liao, L Liu, Y Chen - Ieee Access, 2020 - ieeexplore.ieee.org
Link prediction is to estimate the possibility of future links among nodes by utilizing known
information such as network topology and node attributes. According to the characteristics of …
information such as network topology and node attributes. According to the characteristics of …
A link prediction algorithm based on low-rank matrix completion
M Gao, L Chen, B Li, W Liu - Applied Intelligence, 2018 - Springer
Link prediction is an essential research area in network analysis. Based on the technique of
matrix completion, an algorithm for link prediction in networks is proposed. We propose a …
matrix completion, an algorithm for link prediction in networks is proposed. We propose a …
A link prediction method based on compressed sensing for social networks
J Yang, Y Wu - Applied Intelligence, 2023 - Springer
Link prediction is an important task in social network analysis, with the goal of evaluating the
possibility of forming links between node pairs. In this paper, we introduce compressed …
possibility of forming links between node pairs. In this paper, we introduce compressed …
Improved hotel recommendation system using machine learning technique
The report below shows how a hotel suggestion system based on the user's location was
implemented. Many methods are utilized to raise the accuracy percentage; numerous …
implemented. Many methods are utilized to raise the accuracy percentage; numerous …
Social network analysis through big data platform review
MMA Khedra, AA Abd EL-Aziz… - … on Computer and …, 2019 - ieeexplore.ieee.org
Social Network Analysis determines the relationships between people, organizations,
groups or entities and the flow of information between them. A literature review is done for …
groups or entities and the flow of information between them. A literature review is done for …
Panacea: A novel architecture for electronic health records system using blockchain and machine learning
DR Shah, DA Dhawan, SN Shah… - … on Advances in …, 2022 - ieeexplore.ieee.org
In the information innovation unrest, electronic clinical records are a standard method for
putting away patients' data in emergency clinics. Albeit some emergency clinic frameworks …
putting away patients' data in emergency clinics. Albeit some emergency clinic frameworks …
Friend Recommendation in Social Media App using Link Prediction
S Kini, S Pal, S Kothare, D Mitna… - … Computing and Data …, 2022 - ieeexplore.ieee.org
Nowadays, everyone spends hours upon hours on social media app. Everyone requires
friends to connect with them, so that they can share their interests, opinions, spend time with …
friends to connect with them, so that they can share their interests, opinions, spend time with …