A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration

Shin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese. A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration. In Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II. Volume 8725 of Lecture Notes in Computer Science, pages 422-436, Springer, 2014. [doi]

@inproceedings{MinatoUTTS14,
  title = {A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration},
  author = {Shin-ichi Minato and Takeaki Uno and Koji Tsuda and Aika Terada and Jun Sese},
  year = {2014},
  doi = {10.1007/978-3-662-44851-9_27},
  url = {http://dx.doi.org/10.1007/978-3-662-44851-9_27},
  researchr = {https://researchr.org/publication/MinatoUTTS14},
  cites = {0},
  citedby = {0},
  pages = {422-436},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II},
  editor = {Toon Calders and Floriana Esposito and Eyke Hüllermeier and Rosa Meo},
  volume = {8725},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-662-44850-2},
}