02772ntm a22004937i 4500 000674928 CZ-PrVSE 20200613194230.0 m d cr n|||||||||| 200613s2020 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Sýkora, Lukáš ISIS:36976 dis Algoritmy pro těžbu akčních pravidel eng Algorithms for action rule mining / Lukáš Sýkora 2020 ?? stran : digital, PDF soubor Vedoucí práce: Tomáš Kliegr Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2020 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2020 This work aims at implementing action rules mining in the Python programming languagesince such implementation is not yet available. The thesis also describes a proposal for anexperimental algorithm for generating classification rules from RandomForest models, whichwas designed as an alternative for using class association rule mining for large datasets.The code of the implementation is designed to allow future extensions. The package is sharedwith the data science community and is easy to install. The application has a Scikit-learn likeinterface. The thesis can also serve as a manual for using the created package or as a guide forresearchers who would like to extend it, providing also guide to action rule discovery. The textalso includes performance evaluation with the application LISp-Miner, which already supportsaction rules mining. The implemented solution has performance comparable to LISp-Miner. Způsob přístupu: Internet podniková informatika [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Python pattern mining action rules Kliegr, Tomáš ISIS:8484 ths Rauch, Jan, 1948- jn20001227021 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/69075/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/69075 Hlavní práce https://insis.vse.cz/zp/69075/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/69075/posudek/oponent/66266 Oponentura https://insis.vse.cz/zp/69075/podrobnosti dc:identifier NEPOSILAT VSKP vse69075 200612 69075