Thesis Details
Vztah změn sázkových kurzů a výsledků fotbalových zápasů
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.
web scraping, data extraction, data mining, data collection, knowledge discovery in databases, sports betting, time series analysis, pattern analysis, frequent pattern mining
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
@bachelorsthesis{FITBT22232, author = "Juraj Jurkovi\v{c}", type = "Bachelor's thesis", title = "Vztah zm\v{e}n s\'{a}zkov\'{y}ch kurz\r{u} a v\'{y}sledk\r{u} fotbalov\'{y}ch z\'{a}pas\r{u}", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/22232/" }