Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Methods of individual activities
- Preparation for an exam
- 20 hours per semester
- Preparation for a credit (assessment)
- 20 hours per semester
- Term paper
- 40 hours per semester
- Home preparation for classes
- 18 hours per semester
- Contact teaching
- 52 hours per semester
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Oral examination, Written examination, Work-related product analysis, Self project defence
The assignment is granted upon elaboration of given tasks at seminars (minimum achievement of 60 percent is required) and submitting the seminar paper. Assessment methods: oral, written. The oral examination is based on defence of the seminar paper. The final assessment is comprised of the following proportions: work at seminars - 40 percent, defence of the seminar paper - 60 percent; the written examination might also be considered.
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Berka, Petr. Dobývání znalostí z databází. Praha: Academia, 2003. ISBN 80-200-1062-9.
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BERRY, M. - LINOFF G. Data Mining Techniques - For Marketing, Sales, and Customer Relationship Management. Indianapolis, John Wiley & Sons, 2004, 643 s.. 2004.
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GUIDICI P. Applied Data Mining - Statistical Methods for Business and Industry. Guildford, John Wiley & Sons, 2003, 364 s.. 2003.
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Petr, Pavel. Data Mining.. Pardubice: Univerzita Pardubice, 2006. ISBN 80-7194-886-1.
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Petr, Pavel. Metody Data Miningu.. Pardubice: Univerzita Pardubice, 2014. ISBN 978-80-7395-872-5.
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Petr, Pavel. Metody Data Miningu.. Pardubice: Univerzita Pardubice, 2015. ISBN 978-80-7395-873-2.
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PYLE, D. Data Preparation for Data Mining. San Diego, Academic Press, 1999, 540 s.. San Diego, 1999.
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WITTEN, I.H., FRANK, E., HALL, M.A. Data Mining: Practical Machine Learning Tools and Techniques. Amsterdam, 2011.
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