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Found 5 papers, 0 papers with code
Delta-Closure Structure for Studying Data Distribution
In this paper, we revisit pattern mining and study the distribution underlying a binary dataset thanks to the closure structure which is based on passkeys, i. e., minimum generators in equivalence classes robust to noise.
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets
Pattern mining is well established in data mining research, especially for mining binary datasets.
Discovery data topology with the closure structure. Theoretical and practical aspects
The closure structure allows one to understand the topology of the dataset in the whole and the inherent complexity of the data.
From-Below Boolean Matrix Factorization Algorithm Based on MDL
During the past few years Boolean matrix factorization (BMF) has become an important direction in data analysis.
On interestingness measures of formal concepts
Formal concepts and closed itemsets proved to be of big importance for knowledge discovery, both as a tool for concise representation of association rules and a tool for clustering and constructing domain taxonomies and ontologies.
