Wei Song 0004, Lu Liu, Chaomin Huang. TKU-CE: Cross-Entropy Method for Mining Top-K High Utility Itemsets. In Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki, editors, Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings. Volume 12144 of Lecture Notes in Computer Science, pages 846-857, Springer, 2020. [doi]
@inproceedings{SongLH20-0, title = {TKU-CE: Cross-Entropy Method for Mining Top-K High Utility Itemsets}, author = {Wei Song 0004 and Lu Liu and Chaomin Huang}, year = {2020}, doi = {10.1007/978-3-030-55789-8_72}, url = {https://doi.org/10.1007/978-3-030-55789-8_72}, researchr = {https://researchr.org/publication/SongLH20-0}, cites = {0}, citedby = {0}, pages = {846-857}, booktitle = {Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings}, editor = {Hamido Fujita and Philippe Fournier-Viger and Moonis Ali and Jun Sasaki}, volume = {12144}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-030-55789-8}, }