University of Limerick Institutional Repository

SEDS-Lite: using open source tools (R, BIRT, MySQL) to report and analyze performance data

DSpace Repository

Show simple item record

dc.contributor.author Trubin, Ignor A
dc.contributor.author Ghaith, Shadi
dc.date.accessioned 2013-02-19T15:34:19Z
dc.date.available 2013-02-19T15:34:19Z
dc.date.issued 2012
dc.identifier.uri http://hdl.handle.net/10344/2904
dc.description n/a en_US
dc.description.abstract Statistical Exception Detection System (SEDS) is one of the variations of learning behavior based performance analysis methodology developed, implemented and published by the Authors. This paper takes the main SEDS tools – IT-Control Chart and Exceptions (Anomalies) Detector - and shows how they can be built by Open Source type of Business Intelligence tools, such as R, BIRT and MySQL along with spreadsheets. The paper includes source code, tool screen-shots and report input/output examples which demonstrate building/developing a light version of SEDS. en_US
dc.language.iso eng en_US
dc.relation.ispartofseries Computer Measurement Group (CMG) Conference;
dc.subject SEDS Lite en_US
dc.subject Satistical Exception Detection System en_US
dc.title SEDS-Lite: using open source tools (R, BIRT, MySQL) to report and analyze performance data en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.contributor.sponsor SFI en_US
dc.relation.projectid 10/CE/I1855 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search ULIR


Browse

My Account

Statistics