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Relationship between Changes in Betting Odds and Results of Football Matches
Jurkovič, Juraj ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
The goal of this thesis is to demonstrate techniques for solving web scraping and knowledge discovery tasks. The case study is focused on the extraction of data from bookmaker websites and subsequent analysis of collected data. The thesis demonstrates the implementation of web scraping task in Python language. The thesis describes selected implementation details for developing such a system and proposes a database schema that can be used for this purpose. Collected data is analyzed using statistical methods and frequent patterns are discovered in odds movements using apriori algorithm. Discovered relationships and frequent patterns are presented to the end user.
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Real-time Recognition of Typed Letters
Hámorník, Juraj ; Toropila, Daniel (advisor) ; Jančík, Pavel (referee)
Tablet PC devices are becoming more and more popular these days. These devices rarely have a hardware keyboard. Users input a text in two major ways. First one is a virtual keyboard, where users type each character individually and second one is handwrite recognition, where users write the whole words. Our method combines chars input method and handwriting. Hand written character that can contain multiple strokes, is converted into sequences of numbers. Based on this sequence we evaluate a written character. When we compare the default input method on operating system Windows 8 we can figure, that for advanced users, and for some languages our method could be a challange.
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Relationship between Changes in Betting Odds and Results of Football Matches
Jurkovič, Juraj ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
The goal of this thesis is to demonstrate techniques for solving web scraping and knowledge discovery tasks. The case study is focused on the extraction of data from bookmaker websites and subsequent analysis of collected data. The thesis demonstrates the implementation of web scraping task in Python language. The thesis describes selected implementation details for developing such a system and proposes a database schema that can be used for this purpose. Collected data is analyzed using statistical methods and frequent patterns are discovered in odds movements using apriori algorithm. Discovered relationships and frequent patterns are presented to the end user.
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Real-time Recognition of Typed Letters
Hámorník, Juraj ; Toropila, Daniel (advisor) ; Jančík, Pavel (referee)
Tablet PC devices are becoming more and more popular these days. These devices rarely have a hardware keyboard. Users input a text in two major ways. First one is a virtual keyboard, where users type each character individually and second one is handwrite recognition, where users write the whole words. Our method combines chars input method and handwriting. Hand written character that can contain multiple strokes, is converted into sequences of numbers. Based on this sequence we evaluate a written character. When we compare the default input method on operating system Windows 8 we can figure, that for advanced users, and for some languages our method could be a challange.
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