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Title:
Neo4j graph dataset of cycling paths in Slovenia
Authors:
ID
Rajšp, Alen
(
Author
)
ID
Fister, Iztok
(
Author
)
Files:
1-s2.0-S2352340923003700-main.pdf
(402,54 KB)
MD5: DB1CC5ABCF969CAFC8293C09F203FD7A
https://www.sciencedirect.com/science/article/pii/S2352340923003700?via%3Dihub
Language:
English
Work type:
Article
Typology:
1.03 - Other scientific articles
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Keywords:
data mining
,
geographical data
,
graph database
,
OpenStreetMap
,
route generation
,
sports training
Publication status:
Published
Publication version:
Version of Record
Submitted for review:
24.11.2022
Article acceptance date:
15.05.2023
Publication date:
27.05.2023
Publisher:
Elsevier
Year of publishing:
2023
Number of pages:
5 str.
Numbering:
Vol. 48
PID:
20.500.12556/DKUM-89050
UDC:
004.5
ISSN on article:
2352-3409
COBISS.SI-ID:
154606083
DOI:
10.1016/j.dib.2023.109251
Copyright:
©2023 The Author(s)
Publication date in DKUM:
10.06.2024
Views:
282
Downloads:
22
Metadata:
Categories:
Misc.
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Record is a part of a journal
Title:
Data in brief
Publisher:
Elsevier
ISSN:
2352-3409
COBISS.SI-ID:
32117977
Document is financed by a project
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0057-2018
Name:
Informacijski sistemi
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
podatki
,
geografski podatki
,
podatkovne baze
,
športni treningi
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