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1.
Pristop k vizualizaciji podatkov na osebnem računalniku
David Podgorelec, Marko Vinter, Borut Žalik, 2002, original scientific article

Abstract: V članku je predstavljen algoritem za senčenje prostorskih podatkov, ki je zaradi svoje enostavnosti in hitrosti primeren tudi za uporabo na osebnem računalniku. Množice podatkov, ki jih je zmožen vizualizirati, so dovolj velike za učinkovito rabo v medicinskih aplikacijah. Algoritem temelji na sekundarnem geometrijskem modelu, ki smo ga poimenovali seznam vidnih vokslov. Vizualizacijo poskuša pospešiti s predhodnim izločanjem vokslov, nezanimivih za uporabnika. Ti tako imenovani beli voksli predstavljajo zrak, notranjost objektov in dele površja objektov, ki niso vidni iz trenutnega položaja opazovalca. Delovanje in učinkovitost algoritma smo predstavili na nekaj praktičnih primerih uporabe pri vizualizaciji medicinskih podatkov.
Keywords: računalniška grafika, prostorski podatki, senčenje prostorskih podatkov, znanstvena vizualizacija, vizualizacija prostorskih podatkov, izdelava modelov, voksli, vizualizacija medicinskih podatkov, computer graphics, volume data, volume rendering, visualisation, volume data visualisation, voxels, medical data sets
Published: 01.06.2012; Views: 1131; Downloads: 24
URL Link to full text

2.
COMPARISON OF MYSQL, NEO4J AND APACHE HIVE DATABASE MANAGEMENT SYSTEMS
Matjaž Moser, 2016, master's thesis/paper

Abstract: In this work a comparison of three different database management systems (DBMS) is presented. In general a relational data model with a graph data model is compared. The three systems used are MySQL, Neo4j and Apache Hive. Neo4j is a member of the NoSQL database family and is a well-known graph database. The relational databases used in this work are MySQL and Apache Hive. The latter is not a classic relational model but since it is modelled as such it can be considered relational. MySQL is a well-known solution that has been on the market for several years now and is a standard solution for many data problems. Within this work a detailed comparison of all three systems from different aspects of usage is made, both from our own experience as well as from preliminary research from other authors and sources. Additionally some practical information from our dataset with some simple mining techniques is extracted and the result of our work is visualised in an interactive web side using modern approaches to data visualisation.
Keywords: Neo4j, MySQL, Apache Hadoop/Hive, database comparison, data visualisation
Published: 13.05.2016; Views: 1335; Downloads: 101
.pdf Full text (1,02 MB)

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