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Hongjian Fan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]
Publications of Author
- Hongjian Fan, Kotagiri Ramamohanarao
A Bayesian Approach to Use Emerging Patterns for Classification. [Citation Graph (0, 0)][DBLP]
ADC, 2003, pp:39-48 [Conf] - Zhou Wang, Hongjian Fan, Kotagiri Ramamohanarao
Exploiting Maximal Emerging Patterns for Classification. [Citation Graph (0, 0)][DBLP]
Australian Conference on Artificial Intelligence, 2004, pp:1062-1068 [Conf] - Hongjian Fan, Ming Fan, Kotagiri Ramamohanarao, Mengxu Liu
Further Improving Emerging Pattern Based Classifiers Via Bagging. [Citation Graph (0, 0)][DBLP]
PAKDD, 2006, pp:91-96 [Conf] - Hongjian Fan, Kotagiri Ramamohanarao
An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for Classification. [Citation Graph (0, 0)][DBLP]
PAKDD, 2002, pp:456-462 [Conf] - Hongjian Fan, Kotagiri Ramamohanarao
Noise Tolerant Classification by Chi Emerging Patterns. [Citation Graph (0, 0)][DBLP]
PAKDD, 2004, pp:201-206 [Conf] - Hongjian Fan, Ming Fan, Bingzheng Wang
Maximum Item First Pattern Growth for Mining Frequent Patterns. [Citation Graph (0, 0)][DBLP]
RSFDGrC, 2003, pp:515-523 [Conf] - Hongjian Fan, Kotagiri Ramamohanarao
Efficiently Mining Interesting Emerging Patterns. [Citation Graph (0, 0)][DBLP]
WAIM, 2003, pp:189-201 [Conf] - Shaojie Qiao, Changjie Tang, Jing Peng, Hongjian Fan, Yong Xiang
VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming. [Citation Graph (0, 0)][DBLP]
WISI, 2006, pp:133-138 [Conf] - Hongjian Fan, Kotagiri Ramamohanarao
A weighting scheme based on emerging patterns for weighted support vector machines. [Citation Graph (0, 0)][DBLP]
GrC, 2005, pp:435-440 [Conf] - Hongjian Fan, Kotagiri Ramamohanarao
Fast Discovery and the Generalization of Strong Jumping Emerging Patterns for Building Compact and Accurate Classifiers. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Knowl. Data Eng., 2006, v:18, n:6, pp:721-737 [Journal] - Kotagiri Ramamohanarao, Hongjian Fan
Patterns Based Classifiers. [Citation Graph (0, 0)][DBLP]
World Wide Web, 2007, pp:71-83 [Conf]
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