Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks

Pauli Miettinen. Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks. In Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. Volume 9285 of Lecture Notes in Computer Science, pages 36-52, Springer, 2015. [doi]

@inproceedings{Miettinen15,
  title = {Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks},
  author = {Pauli Miettinen},
  year = {2015},
  doi = {10.1007/978-3-319-23525-7_3},
  url = {http://dx.doi.org/10.1007/978-3-319-23525-7_3},
  researchr = {https://researchr.org/publication/Miettinen15},
  cites = {0},
  citedby = {0},
  pages = {36-52},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II},
  editor = {Annalisa Appice and Pedro Pereira Rodrigues and Vítor Santos Costa and João Gama and Alípio Jorge and Carlos Soares},
  volume = {9285},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-23524-0},
}