An insight into biological datamining based on rarity and correlation as constraints
Author:
Affiliation:
1. University of Tunis ElManar, Tunis, Tunisia
2. Tallinn University of Technology, Estonia
3. University of Bordeaux, Bordeaux, France
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3297280.3297281
Reference16 articles.
1. Inferring Knowledge from Concise Representations of Both Frequent and Rare Jaccard Itemsets
2. New Exact Concise Representation of Rare Correlated Patterns: Application to Intrusion Detection
3. B. Ganter and R. Wille. 1999. Formal Concept Analysis. Springer. B. Ganter and R. Wille. 1999. Formal Concept Analysis. Springer.
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1. A Top-K formal concepts-based algorithm for mining positive and negative correlation biclusters of DNA microarray data;International Journal of Machine Learning and Cybernetics;2023-09-12
2. Pregnancy Associated Breast Cancer Gene Expressions : New Insights on Their Regulation Based on Rare Correlated Patterns;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-05-01
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