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Sistem za prikaz rangiranja športnih klubov
ID ŠORN, JURE (Author), ID Štrumbelj, Erik (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/343a1317-2548-479e-a5f5-69ba3018df19

Abstract
V diplomski nalogi je predstavljen sistem za rangiranje športnih klubov, ki temelji na kvotah stavnic. Sistem sestavljajo štirje deli, in sicer podatkovna baza, skripta za pobiranje stavnih kvot in rezultatov iz spleta, skripta za izračunavanje rangov ter spletna stran za prikaz rangov. Ker smo za izračunavanje rangov uporabili obstoječi algoritem, smo se pri razvoju osredotočili na robustnost pobiranja podatkov iz spleta in na preglednost spletne strani. Za razliko od obstoječih spletnih strani, ki prikazujejo range ekip, smo uporabili zemljevide in klube predstavili skupaj z njihovimi geografskimi lokacijami, z barvami pa tudi moči posameznih držav. Za razvoj smo izbrali odprtokodne tehnologije, ki so nam omogočile hiter razvoj razširljivega sistema.

Language:Slovenian
Keywords:spletne strani, podatkovna baza, strganje, SQLite, Python
Work type:Undergraduate thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2016
PID:20.500.12556/RUL-84844 This link opens in a new window
Publication date in RUL:06.09.2016
Views:1239
Downloads:349
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Secondary language

Language:English
Title:A system for displaying sports club rankings
Abstract:
In this thesis we present a system for displaying sports club rankings that are based on betting odds. The system consists of four main parts: a data base, a script for scraping betting odds and game results from websites, a script for calculating the ranks and a website that displays them. We used an existing algorithm for rank calculation and focused our efforts on the development of a robust scraping algorithm and a transparent website. The main characteristic that distinguishes this project from other similar ones, is our use of maps, which enable us to display geolocations of the clubs and also, with the use of colors, the strengths of individual countries. For development we chose open source technologies that enabled us quick development of an extensible system.

Keywords:web pages, database, scraping, SQLite, Python

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