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Table 1 shows the kind of input data that process-mining techniques expect. Such a conventional flat event log is a collection of events where each event has the following properties:
what input data values to provide, so that the likelihood of violation of business constraints is minimized. 150 M. Dumas and F. M. Maggi In this paradigm,
an example is shown in Fig. 3. Three sample EPCS in a model variant collection represent the input data.
G#2v 7836 Input data 0#3#input data Input data G#2v 7837 Satellite data 0#3#satellite data Satellite data
G#1v 6930 Data analysis 0#2#data analysis Data analysis G#1v 6931 Data privacy 0#2#confidential information Data privacy
-tional Oceanic and Atmospheric Association and the World bank will provide a rich stream of input data and amplify
The principle of the generation of equivalence classes is to group all input data of a program into a
ï Analysis of the input data requirements, the output data requirements, and the conditions ac -cording to the specifications
critical to vet the input data carefully;(2) the business analysis should only serve as guidelines
necessary input data. This secured the reliability of the analysis in paper 7 There are problems related to granting reliability of measurement in the papers of
sophisticated statistical methods to eliminate input data. Rather, it uses limited accountancy information in an efficient way.
input data. In the big data paradigm, it is easy to overlook that concept, given the expectation
relevant territorial units completely mirror the characteristics of input data Normalised territorial indicators, of which location quotients (LQ) are the most
neutralise these sources of bias in the input data Dynamic territorial indicators, such as employment or labour productivity growth
of the software life cycle, automated generation in XML-based input data to maximize the eï ciency in the security testing process,
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