An Incremental Recomputation of From-Below Boolean Matrix Factorization
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-77867-5_8
Reference20 articles.
1. Belohlavek, R., Grissa, D., Guillaume, S., Mephu Nguifo, E., Outrata, J.: Boolean factors as a means of clustering of interestingness measures of association rules. Ann. Math. Artif. Intell. 70(1), 151–184 (2013). https://doi.org/10.1007/s10472-013-9370-x
2. Belohlavek, R., Trnecka, M.: From-below approximations in Boolean matrix factorization: geometry and new algorithm. J. Comput. Syst. Sci. 81(8), 1678–1697 (2015). https://doi.org/10.1016/j.jcss.2015.06.002
3. Belohlavek, R., Trnecka, M.: A new algorithm for Boolean matrix factorization which admits overcovering. Discrete Appl. Math. 249, 36–52 (2018). https://doi.org/10.1016/j.dam.2017.12.044
4. Belohlavek, R., Vychodil, V.: Discovery of optimal factors in binary data via a novel method of matrix decomposition. J. Comput. Syst. Sci. 76(1), 3–20 (2010). https://doi.org/10.1016/j.jcss.2009.05.002
5. Claudio, L., Salvatore, O., Raffaele, P.: A unifying framework for mining approximate top-k binary patterns. IEEE Trans. Knowl. Data Eng. 26(12), 2900–2913 (2014). https://doi.org/10.1109/TKDE.2013.181
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