Thesis Details
Agent pro kurzové sázení
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.
Data mining, data warehouses, methods of knowledge mining, neural networks, model of neuron, mathematic description of neuron, topology of neural network, backpropagation, statistic, probability, sport betting, hazard game, online hazard, game offer, live betting, betting strategy, payback, sure bet, systems of Asian handicap, system 1-6 zero, valuebetting, recency effect, potential and capacity, odds and matches analysis, tipping, betting offices, learning of neural networks, error of neural network, database, Java, , NetBeans IDE, SAS Enterprise Miner, graphs, histograms, sport, tennis, MySQL.
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT), člen
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Racek Stanislav, doc. Ing., CSc. (WBU in Pilsen), člen
@mastersthesis{FITMT5583,
author = "Ji\v{r}\'{i} B\v{e}lohl\'{a}vek",
type = "Master's thesis",
title = "Agent pro kurzov\'{e} s\'{a}zen\'{i}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2008,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/5583/"
}