Mining temporal constraint networks by seed knowledge extension

TítuloMining temporal constraint networks by seed knowledge extension
AutoresM.R. Álvarez, P. Félix and P. Cariñena
TipoComunicación para congreso
Fonte 13th Conference on Artificial Intelligence in Medicine, Bled, Slovenia, 2011.
DOI10.1007/978-3-642-22218-4_31
AbstractThis 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).