National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
The Betting Agent
Bělohlávek, Jiří ; Rozman, Jaroslav (referee) ; Grulich, Lukáš (advisor)
This master thesis deals with design and implementation of betting agent. It covers issues such as theoretical background of an online betting, probability and statistics. In its first part it is focused on data mining and explains the principle of knowledge mining form data warehouses and certain methods suitable for different types of tasks. Second, it is concerned with neural networks and algorithm of back-propagation. All the findings are demonstrated on and supported by graphs and histograms of data analysis, made via SAS Enterprise Miner program. In conclusion, the thesis summarizes all the results and offers specific methods of extension of the agent.
Social work with clients addicted to gambling
HUDEČKOVÁ, Lucie
This bachelor thesis deals with social work with clients addicted to gambling. The thesis is theoretical and divided into three chapters. The first chapter deals with the definition of addiction, common features of non-substance and substance addiction and symptoms of addictive behavior. The second chapter describes gambling as well as the associated problem of gambling addiction, in other words pathological gambling. It also deals with the types of gambling, online gambling, the effects of gambling addiction and the regulation of gambling in the Czech Republic. The third chapter focuses on social work with clients addicted to gambling. It describes social counseling which aims to stabilize the addict's social conditions, through brief intervention and debt counseling. Another important subchapter is working with the family and strengthening the motivation of addicts.
The Betting Agent
Bělohlávek, Jiří ; Rozman, Jaroslav (referee) ; Grulich, Lukáš (advisor)
This master thesis deals with design and implementation of betting agent. It covers issues such as theoretical background of an online betting, probability and statistics. In its first part it is focused on data mining and explains the principle of knowledge mining form data warehouses and certain methods suitable for different types of tasks. Second, it is concerned with neural networks and algorithm of back-propagation. All the findings are demonstrated on and supported by graphs and histograms of data analysis, made via SAS Enterprise Miner program. In conclusion, the thesis summarizes all the results and offers specific methods of extension of the agent.

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