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Data

Cross-sectional data

Description and assignment for first project phase: 
Deliverables first project phase (9 points): 
** data description including requirements for cleaning and integration; descriptive statistics (plots!) on the data (3 points) 
** two analysis questions with description (4 points) 
** Presentation using rmarkdown and knitr (2 points) 
 
Description and assignment for second project phase: 
** Refine the two original analysis questions based on discussion during first project presentation 
** Conduct different analysis techniques in order to answer the refined analysis questions 
** Definition of two follow-up questions 
 
Deliverables second project phase (9 points): 
** Two refined analysis questions (2 points) 
** Analysis results (5 points) 
** Two follow-up questions (2 points) 
** The analysis results should be formulated as an excutive summary (app. 5. pages) which supports decison makers in their future actions 

Business process logs

(doi:10.4121/uuid:d9769f3d-0ab0-4fb8-803b-0d1120ffcf54)
(doi:10.4121/uuid:3926db30-f712-4394-aebc-75976070e91f)
(doi:10.4121/uuid:a7ce5c55-03a7-4583-b855-98b86e1a2b07)
(doi:10.4121/uuid:c3e5d162-0cfd-4bb0-bd82-af5268819c35)
(doi:10.4121/uuid:31a308ef-c844-48da-948c-305d167a0ec1)
Description and assignment for first project phase: 
Deliverables first project phase (9 points): 
** data description including requirements for cleaning and integration; descriptive statistics (plots!) on the data (3 points) 
** two analysis questions with description (4 points) 
** one Petri Net model, one Heuristic Net; both produced by applying the associated process mining technique on the data set using ProM (2 points) 
 
Description and assignment for second project phase: 
** Refine the two original analysis questions based on discussion during first project presentation 
** Conduct different analysis techniques in order to answer the refined analysis questions 
** Definition of two follow-up questions 
 
Deliverables second project phase (9 points): 
** Two refined analysis questions (2 points) 
** Analysis results (5 points) 
** Two follow-up questions (2 points) 

Text mining

Description and assignment for first project phase: 
Deliverables first project phase (9 points): 
** data description including requirements for cleaning and integration; descriptive statistics (plots!) on the data (3 points) 
** two analysis questions with description (4 points) 
** Presentation using rmarkdown and knitr (2 points) 
 
Description and assignment for second project phase: 
** Refine the two original analysis questions based on discussion during first project presentation 
** Conduct different analysis techniques in order to answer the refined analysis questions 
** Definition of two follow-up questions 
 
Deliverables second project phase (9 points): 
** Two refined analysis questions (2 points) 
** Analysis results (5 points) 
** Two follow-up questions (2 points) 
** The analysis results should be formulated as an excutive summary (app. 5. pages) which explains main characteristics of the corpus 

Tools

Last Change: 04.11.2016, 11:47 | 624 Words