diplomsko delo
Lan Žagar (Author), Blaž Zupan (Mentor)

Abstract

Predstavitev podatkov in odkrivanje znanj s tehniko večnivojskih mrež

Keywords

večnivojske mreže;relacijske podatkovne baze;odkrivanje znanj;optimizacija na osnovi sil;genske mreže;računalništvo;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [L. Žagar]
UDC: 004(043.2)
COBISS: 6751060 Link will open in a new window
Views: 1647
Downloads: 277
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Other data

Secondary language: English
Secondary title: [Data representation and mining using multi-layered networks]
Secondary abstract: WE PRESENT A NEW TECHNIQUE FOR NETWORK VISUALIZATION AND NETWORK-BASED DATA MINING. STANDARD NETWORK VISUALIZATION TECHNIQUES MOST OFTEN FOCUS ON A SINGLE-TYPE RELATIONS AND ARE USED FOR VISUALIZATION OF A SINGLE DATA SET. IN PRACTICAL PROBLEM SOLVING, HOWEVER, ADDITIONAL DATA SETS AND RELATIONS THAT RELATE THEM ARE AVAILABLE. OUR SPECIFIC GOAL IN THIS THESIS WAS TO ADDRESS THE PROBLEM OF VISUALIZATION OF MULTIPLE DATASETS FROM A RELATIONAL DATABASE. OUR PROPOSED APPROACH IS BASED ON MULTI-LAYER NETWORKS. IN THIS STUDY WE USE ONLY TWO LAYERS REPRESENTING TWO DIFFERENT DATASETS. A METHOD FOR OPTIMIZING THE LAYOUT OF A MULTI-LAYER NETWORK WAS PROPOSED. SEVERAL OBJECTIVE CRITERIA FOR EVALUATION OF NETWORK VISUALIZATIONS WERE ALSO DEVELOPED. SIMULATIONS ON SYNTHETIC DATA SETS SHOWED THAT THE PROPOSED OPTIMIZATION TECHNIQUE PERFORMS WELL IN SIMULTANEOUS OPTIMIZATION OF TWO-LAYERED NETWORK WITH RESPECT TO THE STRUCTURE OF BOTH LAYERS. WE HAVE ALSO STUDIED THE PERFORMANCE OF THE TECHNIQUE IN BIOINFORMATICAL APPLICATION, WHERE A GENE NETWORK WAS SUCCESSFULLY COMPLEMENTED WITH A NETWORK OF MESH TERMS RESULTING IN AN INFORMATIVE TWO-LAYER NETWORK. AFTER THE OPTIMIZATION STEP, SEVERAL MESH TERMS WERE PLACED NEAR RELATED GENE CLUSTERS AND THUS PROVIDED ADDITIONAL INSIGHT INTO THE IDENTIFIED GENE SETS.
Secondary keywords: multi-layer networks;relational databases;data mining;force-based optimization;gene networks;computer science;diploma;
File type: application/pdf
Type (COBISS): Undergraduate thesis
Thesis comment: Univerza v Ljubljani, Fakulteta za računalništvo in informatiko
Pages: VII, 49 str.
ID: 23809239