Logo des Repositoriums
 

An approach to knowledge-based data handling in complex process

dc.contributor.authorGamzayev, R.
dc.contributor.authorKuklenko, D.
dc.contributor.authorTkachuk, M.
dc.contributor.editorKaschek, Roland
dc.contributor.editorMayr, Heinrich C.
dc.contributor.editorLiddle, Stephen
dc.date.accessioned2019-10-11T08:54:16Z
dc.date.available2019-10-11T08:54:16Z
dc.date.issued2005
dc.description.abstractThis paper presents an approach for knowledge-based data handling in complex Process Control Systems (PCS). Special attention is paid to the specific situations taking place in the technical processes, which run under control of such PCSs. To describe those specific situations we use the concept of Active Rule (AcR). The considered PCSs operate in the real-time mode. Because of this, handling a big number of active rules may cause violations of some real-time constraints. We propose an approach of Association Rules (AsR) in order to eliminate those problems. The collection of AsR is mined from the data describing the specific situations of processes. Those data are collected in PCS as a result of executing appropriate AcR. We elaborate a collection of modification patterns for simplifying the structure of existing AcR, and the general scheme for the interaction between AcR and AsR. The results presented in the paper are based on real-life projects that we performed in the domain of Web-based PCSs for Ukrainian gas-and-oil production enterprises.en
dc.identifier.isbn3-88579-392-X
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/28355
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformation systems technology and its applications, ISTA' 2005
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-63
dc.titleAn approach to knowledge-based data handling in complex processen
dc.typeText/Conference Paper
gi.citation.endPage72
gi.citation.publisherPlaceBonn
gi.citation.startPage61
gi.conference.date23.-25. May 2005
gi.conference.locationPalmerston North, New Zealand
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
GI-Proceedings.63-5.pdf
Größe:
326.08 KB
Format:
Adobe Portable Document Format