Higher order mining for monitoring district heating substations

Autor: Niklas Lavesson, Christian Johansson, Shahrooz Abghari, Håkan Grahn, Jens Brage, Veselka Boeva

Publikováno v: DSAA

We propose a higher order mining (HOM) approach for modelling, monitoring and analyzing district heating (DH) substations' operational behaviour and performance. HOM is concerned with mining over patterns rather than primary or raw data. The proposed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a755b71ffab2b33c69d5936350370bf
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19237

Higher Order Mining of Biological Motifs

Autor: D'’Elia Domenica, Loglisci Corrado, Salvemini Eliana, Turi Antonio, Malerba Donato

Publikováno v: Artificial Intelligence and Linfe Science (AI*IA) Conference, pp. 120–136, Cagliari-Italia, 11-13 Settembre 2008
info:cnr-pdr/source/autori:D'’Elia Domenica, Loglisci Corrado, Salvemini Eliana, Turi Antonio, Malerba Donato/congresso_nome:Artificial Intelligence and Linfe Science (AI*IA) Conference/congresso_luogo:Cagliari-Italia/congresso_data:11-13 Settembre 2008/anno:2008/pagina_da:120/pagina_a:136/intervallo_pagine:120–136

A well-investigated problem in Bioinformatics is that of identifying regulatory functions from the genome, where pattern discovery techniques are typically adopted. In this paper we face the problem of supporting the interpretation of biological moti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::c9a479954cdc7990323058995a3be2f5
https://publications.cnr.it/doc/96836

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