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This page was created on 25-Oct-2013 10:40 by Albrecht Striffler

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Version Date Modified Size Author Changes ... Change note
18 25-Oct-2013 15:36 9 KB Albrecht Striffler to previous
17 25-Oct-2013 15:12 9 KB Albrecht Striffler to previous | to last
16 25-Oct-2013 15:12 9 KB Albrecht Striffler to previous | to last
15 25-Oct-2013 15:10 9 KB Albrecht Striffler to previous | to last
14 25-Oct-2013 15:10 9 KB Albrecht Striffler to previous | to last
13 25-Oct-2013 13:15 9 KB Albrecht Striffler to previous | to last
12 25-Oct-2013 12:42 9 KB Albrecht Striffler to previous | to last
11 25-Oct-2013 12:41 9 KB Albrecht Striffler to previous | to last
10 25-Oct-2013 12:40 9 KB Albrecht Striffler to previous | to last
9 25-Oct-2013 12:39 9 KB Albrecht Striffler to previous | to last
8 25-Oct-2013 11:44 9 KB Albrecht Striffler to previous | to last
7 25-Oct-2013 11:42 9 KB Albrecht Striffler to previous | to last
6 25-Oct-2013 11:40 9 KB Albrecht Striffler to previous | to last
5 25-Oct-2013 11:39 9 KB Albrecht Striffler to previous | to last
4 25-Oct-2013 11:24 956 bytes Albrecht Striffler to previous | to last
3 25-Oct-2013 10:59 584 bytes Albrecht Striffler to previous | to last
2 25-Oct-2013 10:59 562 bytes Albrecht Striffler to previous | to last
1 25-Oct-2013 10:40 5 bytes Albrecht Striffler to last

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asd
!! Background
The development of large [knowledge bases|Doc ] is a long-term process that requires careful quality management. A very important method of quality management is the analysis of key performance indicators. For a knowledge base a number of indicators (variables) is identified and their outcomes and values are checked over a number of real life or at least realistic cases. The performance of the knowledge base can then be analyzed over a big data sample, for example by comparing the averages of the indicators with expected or desired values.