If you made any changes in Pure these will be visible here soon.

Research Output 2010 2019

2015

Self-adaptive attribute weighting for Naive Bayes classification

Wu, J., Pan, S., Zhu, X., Cai, Z., Zhang, P. & Zhang, C., 15 Feb 2015, In : Expert Systems with Applications. 42, 3, p. 1487-1502 16 p.

Research output: Contribution to journalArticleResearchpeer-review

2014

Attribute weighting: how and when does it work for Bayesian Network Classification

Wu, J., Cai, Z., Pan, S., Zhu, X. & Zhang, C., 2014, Proceedings of the 2014 International Joint Conference on Neural Networks. Jiang, F. & Cao, L. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 4076-4083 8 p. 6889536

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Dual instance and attribute weighting for Naive Bayes classification

Wu, J., Pan, S., Cai, Z., Zhu, X. & Zhang, C., 2014, Proceedings of the 2014 International Joint Conference on Neural Networks. Karray, F. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1675-1679 5 p. 6889572

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Exploring features for complicated objects: cross-view feature selection for multi-instance learning

Wu, J., Hong, Z., Pan, S., Zhu, X., Cai, Z. & Zhang, C., 2014, Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management. Garofalakis, M., Soboroff, I., Suel, T. & Wang, M. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1699-1708 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Multi-graph learning with positive and unlabeled bags

Wu, J., Hong, Z., Pan, S., Zhu, X., Zhang, C. & Cai, Z., 2014, Proceedings of the 2014 SIAM International Conference on Data Mining . Zaki, M., Obradovic, Z., Ning-Tan, P., Banerjee, A., Kamath, C. & Parthasarathy, S. (eds.). Philadelphia PA USA: Society for Industrial & Applied Mathematics (SIAM), Vol. 1. p. 217-225 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Multi-Graph-View learning for graph classification

Wu, J., Hong, Z., Pan, S., Zhu, X., Cai, Z. & Zhang, C., 2014, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 590-599 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2013

Graph classification with imbalanced class distributions and noise

Pan, S. & Zhu, X., 1 Dec 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1586-1592 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Graph stream classification using labeled and unlabeled graphs

Pan, S., Zhu, X., Zhang, C. & Yu, P. S., 15 Aug 2013, ICDE 2013 - 29th International Conference on Data Engineering. p. 398-409 12 p. 6544842

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2012

CGStream: Continuous correlated graph query for data streams

Pan, S. & Zhu, X., 19 Dec 2012, CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. p. 1183-1192 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Continuous top-k query for graph streams

Pan, S. & Zhu, X., 19 Dec 2012, CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. p. 2659-2662 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Dynamic classifier ensemble for positive unlabeled text stream classification

Pan, S., Zhang, Y. & Li, X., 1 Nov 2012, In : Knowledge and Information Systems. 33, 2, p. 267-287 21 p.

Research output: Contribution to journalArticleResearchpeer-review

Top-k correlated subgraph query for data streams

Pan, S., Zhu, X. & Fang, M., 1 Dec 2012, ICPR 2012 - 21st International Conference on Pattern Recognition. p. 2906-2909 4 p. 6460773

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2010

Classifier ensemble for uncertain data stream classification

Pan, S., Wu, K., Zhang, Y. & Li, X., 1 Dec 2010, Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings. PART 1 ed. p. 488-495 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6118 LNAI, no. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Ensemble of multiple descriptors for automatic image annotation

He, D., Zheng, Y., Pan, S. & Tang, J., 30 Dec 2010, Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010. p. 1642-1646 5 p. 5647738. (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; vol. 4).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review