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Centre d'Etudes et de Recherche sur le Médicament de Normandie · CERMN |
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Selecting Outstanding Patterns Based on Their Neighbourhood
Abstract : The purpose of pattern mining is to help experts understand their data. Following the assumption that an analyst expects neighbouring patterns to show similar behavior, we investigate the interestingness of a pattern given its neighborhood. We define a new way of selecting outstanding patterns, based on an order relation between patterns and a quality score. An outstanding pattern shows only small syntactic variations compared to its neighbors but deviates strongly in quality. Using several supervised quality measures, we show experimentally that only very few patterns turn out to be outstanding. We also illustrate our approach with patterns mined from molecular data.
https://hal.archives-ouvertes.fr/hal-03658500
Contributor : Etienne Lehembre Connect in order to contact the contributor
Submitted on : Wednesday, May 4, 2022 - 9:34:24 AM
Last modification on : Saturday, June 25, 2022 - 9:57:38 AM
Contributor : Etienne Lehembre Connect in order to contact the contributor
Submitted on : Wednesday, May 4, 2022 - 9:34:24 AM
Last modification on : Saturday, June 25, 2022 - 9:57:38 AM
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IDA2022-E-LEHEMBRE.pdf
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