Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7464
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Arshinoff, Brad | - |
dc.contributor.author | Ratcliffe, Damon | - |
dc.contributor.author | Sactre, Martin | - |
dc.contributor.author | Alhajj, Reda | - |
dc.contributor.author | Özyer, Tansel | - |
dc.date.accessioned | 2021-09-11T15:57:11Z | - |
dc.date.available | 2021-09-11T15:57:11Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.citation | 9th International Conference on Enterprise Information Systems (ICEIS 2007) -- JUN 12-16, 2007 -- Funchal, PORTUGAL | en_US |
dc.identifier.isbn | 978-972-8865-88-7 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/7464 | - |
dc.description.abstract | QMAEP-Queries Made as Easy as Possible, is intended to be a system that greatly simplify the process of query construction for statisticians and researchers. This document is focused on the usability of the database query language and deals with visual representations of the query process, in specific the select query. Methods of integrating simple Graphical User Interfaces (GUIs) for building queries into pre-existing database forms is explored to provide users an intuitive method for query construction. This paper explores data mining as it pertains to clinical research with emphasis on simplifying the data extraction process from complex databases so as to accommodate analysis using important statistical software such as SASS, QMath and MS Excel. | en_US |
dc.description.sponsorship | INSTICC, Univ Madeira, FCT, ACM SIGMIS, Assoc Advancement Artificial Intelligence | en_US |
dc.language.iso | en | en_US |
dc.publisher | Insticc-Inst Syst Technologies Information Control & Communication | en_US |
dc.relation.ispartof | Iceis 2007: Proceedings of The Ninth International Conference On Enterprise Information Systems: Databases And Information Systems Integration | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | visual query language | en_US |
dc.subject | SQL | en_US |
dc.subject | data extraction | en_US |
dc.subject | relational query language | en_US |
dc.subject | form based query language | en_US |
dc.subject | HCI | en_US |
dc.subject | data extraction | en_US |
dc.title | Simplified Query Construction - (queties Made as Easy as Possible) | en_US |
dc.type | Conference Object | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.startpage | 125 | en_US |
dc.identifier.endpage | + | en_US |
dc.identifier.wos | WOS:000253307300023 | en_US |
dc.institutionauthor | Özyer, Tansel | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | 9th International Conference on Enterprise Information Systems (ICEIS 2007) | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.1. Department of Artificial Intelligence Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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