03752ntm a22005297i 4500 000725202 CZ-PrVSE 20250920220214.0 m d cr n|||||||||| 250920s2025 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Beneš, Matěj ISIS:155633 dis Míry zajímavosti asociačních pravidel eng Measures of interestingness of association rules / Matěj Beneš 2025 ?? stran : digital, PDF soubor Vedoucí práce: Petr Máša Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2025 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2025 The master thesis focuses on the topic of interestingness measures of association rules. The main goal of this thesis is to collect some widely used measures of interestingness of association rules from the literature and create a Python package that implements the most important ones to be used in Cleverminer. The thesis also includes three additional goals. The first additional goal of this thesis is to show how the user can add their own measures. The second additional goal is to apply selected measures on a publicly available dataset and compare the performance of the measures with the theoretical claims made about the measures in the literature. The last goal is to measure the performance using these custom metrics in Cleverminer. A comprehensive review of widely used interestingness measures is conducted and the most important measures are implemented in a python package called miar (available at: https://github.com/M-Benes/miar or https://pypi.org/project/miar/) which is published on PyPI and globally available to install, with complete source code available on GitHub for users to use, as well as prepared to be included in Cleverminer. The performance of the package is tested, and users can also modify the package and even add their own custom measures if the package is installed locally. A selection of measures is applied to a real dataset, and their performance is compared to theoretical claims about the measures in the literature. The results of the thesis include the miar package, a complex table with over 100 interestingness measures and over 35 sources, a performance test to prove the effectiveness of the package, and a discussion about the performance of a selection of the measures. Způsob přístupu: Internet znalostní a webové technologie [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas miar interestingness measures Python package association rules rule evaluation Máša, Petr ISIS:17194 ths Sýkora, Lukáš ISIS:36976 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/90036/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/90036 Hlavní práce https://insis.vse.cz/zp/90036/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/90036/posudek/oponent/85866 Oponentura https://insis.vse.cz/zp/90036/priloha/32246 Přiloha k práci https://insis.vse.cz/zp/90036/podrobnosti dc:identifier NEPOSILAT VSKP vse90036 250911 90036