Data Analysis I

Data Analysis I
460-4071/01
čeština Data Analysis I
460-4071/02
angličtina

Summary

The course is focused on basic approaches, methods, and algorithms for data mining and network analysis so that it can be applied to the individual work of students in labs. Exercises will provide space for discussion of problems, demonstration of practical tasks and practice on simple assignments.

Literature

Presentations of lectures.
Ian H. Witten, Eibe Frank , Mark A. Hall. Data Mining: Practical Machine Learning Tools and Techniques (Third Edition). The Morgan Kaufmann Series in Data Management Systems, 2011. ISBN 978-0123748560.
Zaki, M. J., Meira Jr, W. (2014). Data Mining and Analysis: Fundamental Concepts and Algorithms. Cambridge University Press.
Mark Newman. Networks: An Introduction. Oxford University Press, 2010. ISBN 978-0199206650.

Advised literature

Bramer, M. (2013). Principles of data mining. Springer.
Leskovec, J., Rajaraman, A., Ullman, J. D. (2014). Mining of massive datasets. Cambridge University Press.

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Language of instruction	čeština, angličtina
Code	460-4071
Abbreviation	MAD I
Course title	Data Analysis I
Coordinating department	Department of Computer Science
Course coordinator	doc. Mgr. Miloš Kudělka, Ph.D.