Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity
Author:
Affiliation:
1. Max Planck Institute for Informatics and Saarland University, Saarbrücken, Germany
2. CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394486.3403124
Reference37 articles.
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2. M.-L. Antonie and O. R. Zaïane. 2004. Mining Positive and Negative Association Rules: An Approach for Confined Rules. In PKDD. Springer 27--38. M.-L. Antonie and O. R. Zaïane. 2004. Mining Positive and Negative Association Rules: An Approach for Confined Rules. In PKDD. Springer 27--38.
3. T. Calders and B. Goethals. 2002. Mining all Non-Derivable Frequent Itemsets. In PKDD. 74--85. T. Calders and B. Goethals. 2002. Mining all Non-Derivable Frequent Itemsets. In PKDD. 74--85.
4. Characterization of human type I and type II IMP dehydrogenases.
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