Projects per year
Personal profile
Research interests
Data Mining, Machine Learning, Recommender Systems, Social Networks
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Learning systems
Engineering & Materials Science
Labels
Engineering & Materials Science
Recommender systems
Engineering & Materials Science
Experiments
Engineering & Materials Science
Classifiers
Engineering & Materials Science
Time series
Engineering & Materials Science
Factorization
Engineering & Materials Science
Brain
Engineering & Materials Science
Network
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Projects 2018 2021
- 3 Active
Trust Evaluation and Spam Detection on Online Social Networks
Sheng, Q., Yang, J., Wu, J., Collins, A., Nepal, S. & Paris, C.
3/12/18 → 31/08/21
Project: Other
Multi-source information mining for cyber fraud detection in social networks
15/06/18 → 14/06/19
Project: Research
Research Output 2014 2019
A correlation-based feature weighting filter for naive Bayes
Jiang, L., Zhang, L., Li, C. & Wu, J., 1 Feb 2019, In : IEEE Transactions on Knowledge and Data Engineering. 31, 2, p. 201-213 13 p., 8359364.Research output: Contribution to journal › Article › Research › peer-review
Redundancy
Data mining
Learning systems
Computational complexity
A deep framework for Cross-Domain and Cross-System Recommendations
Zhu, F., Wang, Y., Chen, C., Liu, G., Orgun, M. & Wu, J., 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). Lang, J. (ed.). Freiburg: International Joint Conferences on Artificial Intelligence, p. 3711-3717 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
Open Access
Recommender systems
Factorization
Deep neural networks
Experiments
A novel consistent random forest framework: Bernoulli random forests
Wang, Y., Xia, S-T., Tang, Q., Wu, J. & Zhu, X., 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 8, p. 3510-3523 14 p.Research output: Contribution to journal › Article › Research › peer-review
Brain EEG time series selection: a novel graph-based approach for classification
Dai, C., Wu, J., Pi, D. & Cui, L., 1 Jan 2018, Proceedings of the 2018 SIAM International Conference on Data Mining. Ester, M. & Pedreschi, D. (eds.). Philadelphia: Society for Industrial and Applied Mathematics Publications, p. 558-566 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
Electroencephalography
Time series
Brain
DAliM: Machine learning based intelligent lucky money determination for large-scale e-commerce businesses
Fu, M., Wong, C. M., Zhu, H., Huang, Y., Li, Y., Zheng, X., Wu, J., Yang, J. & Vong, C. M., 1 Jan 2018, Service-Oriented Computing: 16th International Conference, ICSOC 2018, Proceedings. Yu, Q., Pahl, C., Vukovic, M. & Yin, J. (eds.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 740-755 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11236 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
Electronic Commerce
Learning systems
Machine Learning
Customers
Marketing