Data Mining
Code | Completion | Credits | Range | Language |
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DA-DMI | Z,ZK | 6 | 30KP+30KC | English |
- Course guarantor:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Software Engineering
- Synopsis:
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In the past decade, we’ve witnessed a huge increase in the amount of data being captured and stored. In these large datasets very useful knowledge is present, though often concealed in the vastness of the data. With data mining techniques patterns are automatically revealed from such large datasets. First, data mining techniques and applications are discussed. Next, we will go into popular predictive and descriptive data mining techniques, with applications in marketing and risk management. Also, analyses such as social network analysis, text mining, process mining, and Big Data will be looked at. Basic programming skills in Python will be learnt. The learned concepts, techniques and programming language will be applied and evaluated with a real-life case.
Teaching takes place at University of Antwerpen.
See the web page https://www.uantwerpen.be/en/study/programmes/all-programmes/digital-business-engineering/about-the-programme/study-programme/
- Requirements:
- Syllabus of lectures:
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Teaching takes place at University of Antwerpen.
See the web page https://www.uantwerpen.be/en/study/programmes/all-programmes/digital-business-engineering/about-the-programme/study-programme/
- Syllabus of tutorials:
-
Teaching takes place at University of Antwerpen.
See the web page https://www.uantwerpen.be/en/study/programmes/all-programmes/digital-business-engineering/about-the-programme/study-programme/
- Study Objective:
- Study materials:
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Foster Provost, Tom Fawcett: Data Science for Business, What you need to know about data mining and data-analytic thinking.
O Reilly Media 2013, ISBN 9781449361327.
See the web page https://www.uantwerpen.be/en/study/programmes/all-programmes/digital-business-engineering/about-the-programme/study-programme/
- Note:
- Further information:
- https://www.uantwerpen.be/en/study/programmes/all-programmes/digital-business-engineering/about-the-programme/double-degree/https://www.uantwerpen.be/en/study/programmes/all-programmes/digital-business-engineering/about-the-programme/study-programme/
- No time-table has been prepared for this course
- The course is a part of the following study plans: