Mining temporal constraint networks by seed knowledge extension

Authors:
M. R. Álvarez;P. Félix;P. Cariñena
Affiliations:
Centro de Investigación en Tecnoloxías da Información, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Centro de Investigación en Tecnoloxías da Información, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Centro de Investigación en Tecnoloxías da Información, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
Venue:
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Year:
2011

Citing 7
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Abstract

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).