National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Visualization methods utilization for document searching by user preferences
Jenček, Petr ; Vojtáš, Peter (advisor) ; Kopecký, Michal (referee)
The aim of this work is to study possibilities of presentation of document search results according to keywords given by a user using sociomapping method. Both web search and locally stored documents search will be our interest. We'll create document clusters from such results using one of the clustering algorithms and measures of keywords similarities. These clusters will be input data for creation of direct, or indirect sociomap. Finally we'll compare results of the clustering algorithms from several points of view.
Portfolio selectio : clustering algorithm approach
Jenček, Petr ; Pečená, Magda (referee) ; Baruník, Jozef (advisor)
Prices of assets (stocks, commodities etc.) are dependent on many economic factors. These factors may be explicitly known but most of them are hidden. This dependency causes that price of an asset influences prices of another assets which makes it quite complicated to select optimal portfolio. Portfolio management is usually based on various mathematic models in conjunction with Value-at-Risk model. The aim of this thesis is to provide an alternative approach for optimal portfolio selection with mutual assets' prices correlation consideration using cluster analysis.
Visualization methods utilization for document searching by user preferences
Jenček, Petr ; Kopecký, Michal (referee) ; Vojtáš, Peter (advisor)
The aim of this work is to study possibilities of presentation of document search results according to keywords given by a user using sociomapping method. Both web search and locally stored documents search will be our interest. We'll create document clusters from such results using one of the clustering algorithms and measures of keywords similarities. These clusters will be input data for creation of direct, or indirect sociomap. Finally we'll compare results of the clustering algorithms from several points of view.

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