Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web

Tran Duc Minh, Claudia d'Amato, Binh Thanh Nguyen, Andrea G. B. Tettamanzi. Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web. In Mauro Castelli, Lukás Sekanina, Mengjie Zhang, Stefano Cagnoni, Pablo García-Sánchez, editors, Genetic Programming - 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings. Volume 10781 of Lecture Notes in Computer Science, pages 289-305, Springer, 2018. [doi]

@inproceedings{MinhdNT18,
  title = {Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web},
  author = {Tran Duc Minh and Claudia d'Amato and Binh Thanh Nguyen and Andrea G. B. Tettamanzi},
  year = {2018},
  doi = {10.1007/978-3-319-77553-1_18},
  url = {https://doi.org/10.1007/978-3-319-77553-1_18},
  researchr = {https://researchr.org/publication/MinhdNT18},
  cites = {0},
  citedby = {0},
  pages = {289-305},
  booktitle = {Genetic Programming - 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings},
  editor = {Mauro Castelli and Lukás Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo García-Sánchez},
  volume = {10781},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-77553-1},
}