diplomska naloga
Abstract
Nakup ali prodaja rabljenega vozila lahko predstavlja za osebo brez tovrstnega znanja veliko težavo in dolgotrajen proces. Na slovenskih spletnih oglasnikih je veliko različnih oglasov, iz katerih je težko razbrati objektivne vrednosti vozil. Iz tega razloga smo izdelali aplikacijo, ki uporabnikom omogoča hitro in enostavno ocenjevanje različnih vozil na slovenskem trgu. Nekaj tovrstnih aplikacij za slovenski trg sicer že obstaja, so pa večinoma plačljive ali nezanesljive. V diplomski nalogi so predstavljene tehnologije za izdelavo aplikacije: PHP, Javascript in Bootstrap, metode pridobivanja ocenitev s pomočjo strojnega učenja ter razvojno okolje XAMPP. Natančno je opisan postopek razvoja aplikacije, njene zahteve in funkcionalnosti.
Keywords
PHP;Javascript;PHPML;spletna aplikacija;strojno učenje;predvidevanje vrednosti;
Data
Language: |
Slovenian |
Year of publishing: |
2019 |
Typology: |
2.11 - Undergraduate Thesis |
Organization: |
FIŠ - Faculty of Information Studies |
Publisher: |
[M. Lukas] |
UDC: |
004.4:004.774.6(043.2) |
COBISS: |
2048626195
|
Views: |
164 |
Downloads: |
13 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
English |
Secondary abstract: |
Buying or selling a used vehicle can be, for a person without experience, an unpleasant and lengthy process. On Slovenian websites, there are a lot of different advertisements, however, they make it difficult to determine objective value of vehicles. For that reason, we have developed an application that allows the users quick and simple value determination for different types of vehicles in the Slovenian market. Although some applications with similar functions already exist in Slovenian market, most of them require payment or are unreliable. In this bachelor thesis the technologies used for the development of the application are presented: PHP, Javascript and Bootstrap, methods for determining the value through machine learning and development environment XAMPP. The procedure of developing the application is described in detail as well as its requirements and functionality. |
Secondary keywords: |
PHP;Javascript;PHPML;web application;machine learning;value prediction; |
Type (COBISS): |
Bachelor thesis/paper |
Thesis comment: |
Fakulteta za informacijske študije v Novem mestu |
Source comment: |
Na ov.: Diplomska naloga : visokošolskega strokovnega študijskega programa prve stopnje;
|
Pages: |
XV, 55 str. |
ID: |
11302860 |