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Found 7 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.
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.
The Comparison of Methods for Individual Treatment Effect Detection
Today, treatment effect estimation at the individual level is a vital problem in many areas of science and business.
Machine learning for subgroup discovery under treatment effect
In many practical tasks it is needed to estimate an effect of treatment on individual level.
Mining Best Closed Itemsets for Projection-antimonotonic Constraints in Polynomial Time
One of the first constraints proposed in pattern mining is support (frequency) of a pattern in a dataset.
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints
In this paper we consider stability and $\Delta$-measure, which are nonmonotonic constraints, and apply them to interval tuple datasets.
On mining complex sequential data by means of FCA and pattern structures
Pattern structures are used for mining complex data (such as sequences or graphs) and are based on a subsumption operation, which in our case is defined with respect to the partial order on sequences.
