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

Miettinen, Pauli

doi:10.1007/978-3-319-23525-7_3

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

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

MPS-Authors

/persons/resource/persons45046

Miettinen, Pauli
Databases and Information Systems, MPI for Informatics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Miettinen, P. (2015). Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks. In A. Appice, P. Pereira Rodrigues, J. Gama, J. Alípio, & C. Soares (Eds.), Machine Learning and Knowledge Discovery in Databases (pp. 36-52). Berlin: Springer. doi:10.1007/978-3-319-23525-7_3.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0029-2278-1

Abstract

There is no abstract available