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Published in:
2011 | OriginalPaper | Chapter
Mining Temporal Constraint Networks by Seed Knowledge Extension
Authors : M. R. Álvarez, P. Félix, P. Cariñena
Published in: Artificial Intelligence in Medicine
Publisher: Springer Berlin Heidelberg
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This paper proposes an algorithm for discovering temporal patterns, represented in the Simple Temporal Problem (STP) formalism, that frequently occur in a set of temporal sequences. To focus the search, some initial knowledge can be provided as a seed pattern by a domain expert: the mining process will find those frequent temporal patterns consistent with the seed. The algorithm has been tested on a database of temporal events obtained from polysomnography tests in patients with Sleep Apnea-Hypopnea Syndrome (SAHS).