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Data Analysis II

Data Analysis II
460-4072/01
čeština Data Analysis II
460-4072/02
angličtina

Summary

Students will be introduced to advanced algorithms for analysis and visualization of networks. The lectures will deal with the theoretical description of the individual algorithms for the different analytical tasks so that the students will be able to decide which methods are suitable, what is their theoretical background and what outputs can be obtained. The seminars will then serve for practical experiments on suitable datasets, experimenting with tools for analyzing network data and for evaluating experimental results.

Literature

1. Mohammed J. Zaki, Wagner Meira, Jr., Data Mining and Analysis: Fundamental Concepts and Algorithms, Cambridge University Press, May 2014. ISBN: 9780521766333 .
2. Jure Leskovec, Anand Rajaraman, David Ullman, Mining of Massive Datasets, 2nd editions, Cambridge University Press, Novemeber 2014, ISBN: 9781107077232 , On-line http://infolab.stanford.edu/~ullman/mmds/book.pdf [2014-09-12]

Advised literature

1. Mohammed J. Zaki, Wagner Meira, Jr., Data Mining and Analysis: Fundamental Concepts and Algorithms, Cambridge University Press, May 2014. ISBN: 9780521766333 .
2. Jure Leskovec, Anand Rajaraman, David Ullman, Mining of Massive Datasets, 2nd editions, Cambridge University Press, Novemeber 2014, ISBN: 9781107077232 , On-line http://infolab.stanford.edu/~ullman/mmds/book.pdf [2014-09-12]


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Language of instruction čeština, angličtina
Code 460-4072
Abbreviation MAD II
Course title Data Analysis II
Coordinating department Department of Computer Science
Course coordinator doc. Mgr. Miloš Kudělka, Ph.D.