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SEDS-Lite: using open source tools (R, BIRT, MySQL) to report and analyze performance data
Date
2012
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.
Supervisor
Description
n/a
Publisher
Citation
Computer Measurement Group (CMG) Conference;
Files
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Trubin_2012_SEDS.pdf
Adobe PDF, 1.34 MB
ULRR Identifiers
Funding code
Funding Information
Science Foundation Ireland (SFI)