DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage Regularization

Author:

Chataing Thibaut,Perez Julien,Plantevit Marc,Robardet Céline

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Agrawal, R., Imielinski, T., Swami, A.N.: Mining association rules between sets of items in large databases. In: SIGMOD, pp. 207–216. ACM Press (1993)

2. Berman, A., Plemmons, R.J.: Nonnegative matrices in the mathematical sciences. In: Classics in Applied Mathematics (1979)

3. Bosc, G., Boulicaut, J., Raïssi, C., Kaytoue, M.: Anytime discovery of a diverse set of patterns with Monte Carlo tree search. DAMI 32(3), 604–650 (2018)

4. Budhathoki, K., Vreeken, J.: The difference and the norm: characterising similarities and differences between databases. In: Mach (2015)

5. Dash, S., Günlük, O., Wei, D.: Boolean decision rules via column generation. In: NeurIPS, pp. 4660–4670 (2018)

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