diplomsko delo
Danijel Grah (Avtor), Igor Kononenko (Mentor)

Povzetek

Sistem za podoro grafološke analize

Ključne besede

sistem;grafologija;grafološka analiza;strojno učenje;računalništvo;univerzitetni študij;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [D. Grah]
UDK: 004.9:159.925.6(043.2)
COBISS: 9455956 Povezava se bo odprla v novem oknu
Št. ogledov: 48
Št. prenosov: 3
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: A system for graphology analysis support
Sekundarni povzetek: In the diploma thesis we focused on the development of the system that belongs to software solutions in the field of graphology. In cooperation with an expert in the field of graphology we created a user friendly system that enables managing and saving the measurements. The Machine learning methods were tested on the data that we had at disposal. We decided to include the kNN method. A simple interface for entering any number of decision rules was also implemented. With the help of the expert graphologist 88 decision rules, which combine general predictions of personal features or professional types in the final part of the decision rules, were defined and entered. We tested the accuracy of the system with 10 manuscripts and compared measurements made with the original data. Larger deviations were noticed. In our opinion the cause for these mistakes is lack of professional knowledge in making the measurements. We established that we cannot uniquely conclude on a professional type based on prediction, nor can we thoroughly determine personal features and we think that the cause for inaccuracy lays in too generally defined final part of the decision rules. We have determined that we succeeded to create a system that substitutes standard tools which are used in a graphologists work. We also think that the system is suitable for demonstration purposes in teaching Graphology.
Sekundarne ključne besede: system;graphology;graphoanalysis;machine learning;computer science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo
Komentar na gradivo: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani: [58] str.
ID: 24142439