Modeling and language support for the management of pattern-bases

Terrovitis, M; Vassiliadis, P; Skiadopoulos, S; Bertino, E; Catania, B; Maddalena, A

dc.contributor.author	Terrovitis, M	en
dc.contributor.author	Vassiliadis, P	en
dc.contributor.author	Skiadopoulos, S	en
dc.contributor.author	Bertino, E	en
dc.contributor.author	Catania, B	en
dc.contributor.author	Maddalena, A	en
dc.date.accessioned	2014-03-01T02:42:53Z
dc.date.available	2014-03-01T02:42:53Z
dc.date.issued	2004	en
dc.identifier.issn	10993371	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31119
dc.subject	Knowledge Extraction	en
dc.subject	Specification Language	en
dc.subject.other	Data collection	en
dc.subject.other	Data spaces	en
dc.subject.other	Knowledge extraction	en
dc.subject.other	Pattern-base management systems (PBMS)	en
dc.subject.other	Algorithms	en
dc.subject.other	Approximation theory	en
dc.subject.other	Data mining	en
dc.subject.other	Data processing	en
dc.subject.other	Data reduction	en
dc.subject.other	Database systems	en
dc.subject.other	Mathematical models	en
dc.subject.other	Pattern recognition	en
dc.subject.other	Problem solving	en
dc.subject.other	Query languages	en
dc.subject.other	Wavelet transforms	en
dc.subject.other	Knowledge acquisition	en
dc.title	Modeling and language support for the management of pattern-bases	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/SSDM.2004.1311218	en
heal.identifier.secondary	http://dx.doi.org/10.1109/SSDM.2004.1311218	en
heal.publicationDate	2004	en
heal.abstract	In our days knowledge extraction methods are able to produce artifacts (also called patterns) that concisely represent data. Patterns are usually quite heterogeneous and require ad-hoc processing techniques. So far, little emphasis has been posed on developing an overall integrated environment for uniformly representing and querying different types of patterns. Within the larger context of modelling, storing, and querying patterns, in this paper, we: (a) formally define the logical foundations for the global setting of pattern management through a model that covers data, patterns and their intermediate mappings; (b) present a pattern specification language for pattern management along with safety restrictions; and (c) introduce queries and query operators and identify interesting query classes.	en
heal.journalName	Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM	en
dc.identifier.doi	10.1109/SSDM.2004.1311218	en
dc.identifier.volume	16	en
dc.identifier.spage	265	en
dc.identifier.epage	274	en