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dc.contributor.authorBehrend, Andreas
dc.contributor.authorDorau, Christian
dc.contributor.authorManthey, Rainer
dc.contributor.editorFreytag, Johann-Christoph
dc.contributor.editorRuf, Thomas
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2019-02-20T10:28:15Z
dc.date.available2019-02-20T10:28:15Z
dc.date.issued2009
dc.identifier.isbn978-3-88579-238-3
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/20477
dc.description.abstractTinTO is an experimental system aiming at demonstrating the usefulness and feasibility of incrementally evaluated SQL queries for analyzing a wide spectrum of data streams. As application area we have chosen the technical analysis of stock market data, maen
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-144
dc.titleTinto: A tool for view-based analysis of stock market data streamsen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages584-587
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationMünster
mci.conference.date2.-6. März 2009


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