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VU Business Intelligence I (052411)
- LV: «Maria Leitner» and «Erion Çano»
- contact only through Forum, NOT via mail or phone
- «U:FIND»
Tutor: Tobias Pfaller
FAQ Regarding Organisation
- Compulsory Kickoff? See «u:find»
- Location and Time? See «u:find»
- Is attendance during class compulsory? See «u:find»
- Is attendance mandatory during exercise discussions? No. We highly recommend attendance but it is not mandatory.
- Will the lecture be recorded? No, we do not record the lectures.
Contents
The course is structured in the following:
- Methodology and modeling techniques in business intelligence
- Data models in business intelligence and data quality
- Analysis of cross sectional data (data mining)
- Analysis of process data (process mining)
- Business intelligence tools (OLAP, Visualization, Text mining, Data Quality Management)
Schedule
01. |
16.03. |
Kickoff, Introduction and Modeling, Exercise 1 Introduction «Link» (Online) |
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02. |
23.03. |
Data Provisioning, Discussion Exercise 1, Exercise 2 Introduction |
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Easter Holidays |
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03. |
13.04. |
Data Description and Visualization, Discussion Exercise 2 |
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04. |
20.04. |
Process Mining, Exercise 3 Introduction |
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05. |
27.04. |
Social Network Analysis, Discussion Exercise 3, Exercise 4 Introduction |
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06. |
04.05. |
Discussion Exercise 4, Data Mining Basics |
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07. |
11.05. |
Text Mining (1) |
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08. |
18.05. |
Text Mining (2), Exercise 5 Introduction |
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Whitsun / Pentecost |
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09. |
01.06. |
Opinion Mining (1) |
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10. |
08.06. |
Opinion Mining (2), Exercise 6 Introduction |
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11. |
15.06. |
Discussion Exercise 5, Discussion Exercise 6 |
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12. |
22.06. |
Q & A Session for Exam |
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13. |
29.06. |
Exam at Hörsaal C1 UniCampus Hof 2 2G-O1-03 - see «U:FIND», please see «Checklist: Before the course/exam» |
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Live Stream
- 16 March 2021, 13:15: live stream in BBB: «Link»
- 23 March 2021, 13:15: live stream in BBB: «Link»
- 13 April 2021, 13:15: live stream in BBB: «Link»
- 20 April 2021, 13:15: live stream in BBB: «Link»
- 27 April 2021, 13:15: live stream in BBB: «Link»
- 04 May 2021, 13:15: live stream in BBB: «Link»
- 11 May 2021, 13:15: live stream in BBB: «Link»
- 18 May 2021, 13:15: live stream in BBB: «Link»
- 01 June 2021, 13:15: live stream in BBB: «Link»
- 08 June 2021, 13:15: live stream in BBB: «Link»
- 15 June 2021, 13:15: live stream in BBB: «Link»
- 22 June 2021, 13:15: live stream in BBB: «Link»
Slides
Exercises
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- Exercise 5: Text Mining
- Exercise 6: Sentiment Analysis
Explanations
Python3 Learning Materials
Example Use Cases
- Seiger, R., Zerbato, F., Burattin, A., García-Bañuelos, L., & Weber, B. (2020, October). Towards iot-driven process event log generation for conformance checking in smart factories. In 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 20-26). IEEE
- Remy, S., Pufahl, L., Sachs, J. P., Böttinger, E., & Weske, M. (2020, September). Event Log Generation in a Health System: A Case Study. In International Conference on Business Process Management (pp. 505-522). Springer, Cham.
- Bernard, G., & Andritsos, P. (2017). A process mining based model for customer journey mapping. In Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering (CAiSE 2017) (Vol. 1848, pp. 49-56). CEUR Workshop Proceedings.
Grading
See «U:FIND»
* 45% Exercises (1 person per team)
* 45% Online interview (1 person)
* 10% Presentation and discussion
Literature
- W. Grossmann, S. Rinderle-Ma: Fundamentals of Business Intelligence. Springer-Verlag Berlin Heidelberg, doi: 10.1007/978-3-662-46531-8 (2015)
- Accompanying slides: «Book Website»
- Friedman, J., Hastie, T., Tibshirani, R. (2001). The elements of statistical learning (Vol. 1, No. 10). New York: Springer series in statistics
Letzte Änderung: 21.06.2021, 14:23 | 864 Worte