Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Získávání znalostí z databází"'
Autor:
Šebek, Michal
Dolování sekvenčních vzorů je důležitá oblast získávání znalostí z databází. Stále více průmyslových a obchodních aplikací uchovává data mající povahu sekvencí, kdy je dáno pořadí jednotlivých transakcí. Toho může bý
Externí odkaz:
http://www.nusl.cz/ntk/nusl-412593
Autor:
Senft, Martin
This thesis applies the data mining method of decision rules on data from Consulting centre for Metabolism disorders from University hospital Pilsen. As a tool is used the system LISp-Miner, developed at University of Economics, Prague. Decision rule
Externí odkaz:
http://www.nusl.cz/ntk/nusl-337039
Autor:
Kučera, Petr
This paper describes the use of meta-learning in the area of data mining. It describes the problems and tasks of data mining where meta-learning can be applied, with a focus on classification. It provides an overview of meta-learning techniques and t
Externí odkaz:
http://www.nusl.cz/ntk/nusl-236213
Autor:
Tisoň, Zdeněk
This master's thesis is focused on knowledge discovery from databases, especially on methods of mining sequential patterns. Individual methods of mining sequential patterns are described in detail. Further, this work deals with extending the platform
Externí odkaz:
http://www.nusl.cz/ntk/nusl-236614
Autor:
Stríž, Rostislav
Data collecting and analysis are commonly used techniques in many sectors of today's business and science. Process called Knowledge Discovery in Databases presents itself as a great tool to find new and interesting information that can be used in a f
Externí odkaz:
http://www.nusl.cz/ntk/nusl-236473
Autor:
Pohlídal, Antonín
This master's thesis deals with the use of text classification for sorting of incoming emails. First, there is described the Knowledge Discovery in Databases and there is also analyzed in detail the text classification with selected methods. Further,
Externí odkaz:
http://www.nusl.cz/ntk/nusl-236458
Autor:
Pešek, Martin
This thesis deals with knowledge discovery in spatio-temporal data, which is currently a rapidly evolving area of research in information technology. First, it describes the general principles of knowledge discovery, then, after a brief introduction
Externí odkaz:
http://www.nusl.cz/ntk/nusl-237048
Autor:
Zapletal, Petr
This master's thesis deals with with FIT-Miner, the system for knowledge discovery in databases. The first part of this paper describes the data-mining process, mixture model's issues and FIT-Miner system. Second part deals with design, implementatio
Externí odkaz:
http://www.nusl.cz/ntk/nusl-236921
Autor:
Málik, Peter
This master"s thesis deals with the knowledge discovery in multimedia databases. It contains general principles of knowledge discovery in databases, especially methods of cluster analysis used for data mining in large and multidimensional databases a
Externí odkaz:
http://www.nusl.cz/ntk/nusl-235525
Autor:
Hlosta, Martin
This thesis deals with the design and implementation of a cluster analysis module for currently developing datamining system DataMiner on FIT BUT. So far, the system lacked cluster analysis module. The main objective of the thesis was therefore to ex
Externí odkaz:
http://www.nusl.cz/ntk/nusl-237158