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Found 9 papers, 1 papers with code
Incremental Constrained Clustering by Minimal Weighted Modification
Clustering is a well-known task in Data Mining that aims at grouping data instances according to their similarity.
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Incremental Constrained Clustering
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Exploiting complex pattern features for interactive pattern mining
Recent years have seen a shift from a pattern mining process that has users define constraints before-hand, and sift through the results afterwards, to an interactive one.
An efficient heuristic approach combining maximal itemsets and area measure for compressing voluminous table constraints
Constraint Programming is a powerful paradigm to model and solve combinatorial problems.
Boosting the Learning for Ranking Patterns
On the other hand, several measures are often used to evaluate the interestingness of patterns, with the hope to reveal a ranking that is as close as possible to the user-specific ranking.
A global constraint for closed itemset mining
Discovering the set of closed frequent patterns is one of the fundamental problems in Data Mining.
A global Constraint for mining Sequential Patterns with GAP constraint
Sequential pattern mining (SPM) under gap constraint is a challenging task.
Prefix-Projection Global Constraint for Sequential Pattern Mining
Sequential pattern mining under constraints is a challenging data mining task.
Tractability and Decompositions of Global Cost Functions
A global cost function is called tractable projection-safe when applying an EPT to it is tractable and does not break the tractability property.
A Constraint Programming Approach for Mining Sequential Patterns in a Sequence Database
Constraint-based pattern discovery is at the core of numerous data mining tasks.
