A Data Mining Algorithm for Inducing Temporal Constraint Networks
A new approach to the problem of temporal knowledge induction from a collection of temporal events is presented. As a result, a set of frequent temporal patterns is obtained, represented following the Simple Temporal Problem (STP) formalism: a set of event types and a set of constraints describing common temporal arrangements between the events. The use of a clustering technique makes it possible to discriminate between the frequent patterns that are found in the collection.
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Publication: Congress
1624015004803
June 18, 2021
/research/publications/a-data-mining-algorithm-for-inducing-temporal-constraint-networks
A new approach to the problem of temporal knowledge induction from a collection of temporal events is presented. As a result, a set of frequent temporal patterns is obtained, represented following the Simple Temporal Problem (STP) formalism: a set of event types and a set of constraints describing common temporal arrangements between the events. The use of a clustering technique makes it possible to discriminate between the frequent patterns that are found in the collection. - Miguel R. Álvarez, Paulo Félix, Purificación Cariñena, Abraham Otero - 10.1007/978-3-642-14049-5_31
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