Bi-Ru Dai, Pai-Yu Lin. iTM: An Efficient Algorithm for Frequent Pattern Mining in the Incremental Database without Rescanning. In Been-Chian Chien, Tzung-Pei Hong, Shyi-Ming Chen, Moonis Ali, editors, Next-Generation Applied Intelligence, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings. Volume 5579 of Lecture Notes in Computer Science, pages 757-766, Springer, 2009. [doi]
@inproceedings{DaiL09, title = {iTM: An Efficient Algorithm for Frequent Pattern Mining in the Incremental Database without Rescanning}, author = {Bi-Ru Dai and Pai-Yu Lin}, year = {2009}, doi = {10.1007/978-3-642-02568-6_77}, url = {http://dx.doi.org/10.1007/978-3-642-02568-6_77}, tags = {database, incremental}, researchr = {https://researchr.org/publication/DaiL09}, cites = {0}, citedby = {0}, pages = {757-766}, booktitle = {Next-Generation Applied Intelligence, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings}, editor = {Been-Chian Chien and Tzung-Pei Hong and Shyi-Ming Chen and Moonis Ali}, volume = {5579}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-642-02567-9}, }