Citation:
Tang C. 7/2012. “Research on Transaction Sequence Data Mining.” Fudan Universiy (doi: 10.7666/d.y2069336). Thesis Type: PhD thesis. Publisher's Version
Abstract:
Every Chapter Accepted by Chinese Computer Science Journals
- Tang C, Dai D, Zhu B, Zhu Y. A Clustering Algorithm for Transaction Sequences Based on Growth Patterns. Pattern Recognition and Artificial Intelligence (doi: 10.3969/j.issn.1003-6059.2013.05.008). 2013;26(5): 467-473.
- Dong J, Tang C, Lu Y. A Composite Sequential Mining Algorithm in Time Series. Microcomputer Applications (doi: 10.3969/j.issn.1007-757X.2013.07.005). 2013;7: 15-20.
- *Tang C, Dong J. Similarity Query of Time Series Sub-Sequences Based on LSH (doi: 10.3724/SP.J.1016.2012.02228). Chinese Journal of Computers. 2012;11(35): 2228-2236.
- Tang C, Dong J, Dai D, Zhu Y. A Similarity Query Algorithm in Sequential Patterns. Journal of Computer Research and Development 2011;48 (Suppl.): 132-139
- Dai D, Tang C, Xiong Y. Sequence clustering algorithms based on global and local similarity. Journal of Software (doi: 10.3724/SP.J.1001.2010.03609). 2010;4: 013.
- Dai D, Tang C, Qiu B, Xiong Y, Zhu Y. An Algorithm for Sequence Similarity Query with Optimized Multiple Filtering. Journal of Computer Research and Development. 2010;(47)10: 1785-1796.
* Repeatedly Reported in Publications (see the link)