Nor Fadzilah Abdullah, Ammar Riadh Kairaldeen, Asma Abu-Samah, Rosdiadee Nordin, Vol. 18, No. 7, July 31, 2024
10.3837/tiis.2024.07.014

• Anomaly prediction
• Blockchain
• Clustering Algorithms
• Fraud Detection
• Internet of Things (IoT)
• Legitimate transactions
• Machine Learning
• Privacy
• security.

Zilong Jin, Jin Wang, Lejun Zhang, Vol. 18, No. 6, June 30, 2024
10.3837/tiis.2024.06.003

• clustering
• Federated learning
• Local Differential Privacy (LDP)
• internet of vehicles (IoV)

Zilong Jin, Chi Zhang, Lejun Zhang, Vol. 18, No. 5, May 31, 2024
10.3837/tiis.2024.05.005

• autonomous vehicles
• clustering
• Collaborative Perception
• Personalized Federated Learning

İhsan Güneş, Vol. 18, No. 5, May 31, 2024
10.3837/tiis.2024.05.011

• Ant colony clustering
• Collaborative Filtering
• Privacy
• Recommendation System
• shilling attacks

Jingjing Ye, Jun Wang, Vol. 18, No. 2, February 29, 2024
10.3837/tiis.2024.02.003

• image processing
• Texture vision sampling
• Convolutional neural networks
• Image denoising
• Feature clustering

Ya-Jun Leng, Zhi Wang, Dan Peng, Huan Zhang, Vol. 17, No. 11, November 30, 2023
10.3837/tiis.2023.11.008

• Recommendation System
• Collaborative Filtering
• Affinity propagation clustering
• Mean deviation method

Hyungbae Park, Joongjin Kook, Vol. 17, No. 6, June 30, 2023
10.3837/tiis.2023.06.011

• WSN
• hierarchical clustering
• Mobile Sink.

Yeo-Chan Yoon, Soo Kyun Kim, Vol. 17, No. 6, June 30, 2023
10.3837/tiis.2023.06.005

• Mobile App Clustering
• Network embedding
• Nodes Clustering
• Deep Learning

Xibin Jia, Zijia Lu, Qing Mi, Zhefeng An, Xiaoyong Li, Min Hong, Vol. 16, No. 12, December 31, 2022
10.3837/tiis.2022.12.003

• graph deep clustering
• heterogeneous information networks
• representation learning
• student behavior modeling

Jiann-Liang Chen, Hsin-Yun Chen, Yi-Wei Ma, Vol. 16, No. 9, September 30, 2022
10.3837/tiis.2022.09.007

• Location-based service
• LoRa
• Fingerprint Mechanism
• Machine Learning Algorithm
• Synthetic Minority Over-sampling Technique (SMOTE)
• Density-Based Spatial Clustering of Applications with Noise (DBSCAB)