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Lecturer(s)
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Petr Pavel, doc. Ing. Ph.D.
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Course content
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Introduction to DM Access to data Data manipulation and visualization Cluster analysis Linear regression Logistic regression Decision trees Neural networks Market Basket Analysis Factor analysis Modeling Methodology CRISP-DM Utilization of DM and software tools
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Methods of individual activities
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Learning outcomes
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The aim of the course is to acquaint students with possibilities of data mining. The introductory part of the course is followed by presentation of definitions of aims and techniques for data mining. Further, selection of data sources and their preparation for modelling are explained.
Students will be able to define individual phases of a data mining project and its content. Using software tools they will know how to solve basic tasks in the area of data preparation and choose the appropriate methods for a model creation.
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Prerequisites
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Bases work with database, knowledge from mathematics to the extent of subject 1. and 2. class.
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Assessment methods and criteria
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Oral examination, Home assignment evaluation, Work-related product analysis
The assignment is granted upon elaboration of given tasks (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 and responding to examiner questions - 60 percent; the written examination might also be considered.
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Recommended literature
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Berka, Petr. Dobývání znalostí z databází. Praha: Academia, 2003. ISBN 80-200-1062-9.
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Berry, Michael J. A. Data mining techniques : for marketing, sales, and customer relationship management. Indianapolis: Wiley, 2004. ISBN 0-471-47064-3.
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Berry, Michael J. A. Mastering data mining. New York: John Wiley & Sons, 2000. ISBN 0-471-33123-6.
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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, Dorian. Data preparation for data mining. San Francisco: Morgan Kaufmann, 1999. ISBN 1-55860-529-0.
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RUD, O. L. Data Mining - Praktický průvodce dolováním dat pro efektivní prodej, cílený marketing a podporu zákazníků (CRM). Praha, Computer Press, 2001, 330 s.. 2001.
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