An Efficient Probabilistic Algorithm to Detect Periodic Patterns in Spatio-Temporal Datasets
| dc.contributor.author | Gutiérrez-Soto, Claudio | |
| dc.contributor.author | Galdames, Patricio | |
| dc.contributor.author | Palomino, Marco | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.date.accessioned | 2024-06-18T08:23:00Z | |
| dc.date.available | 2024-06-18T08:23:00Z | |
| dc.date.issued | 2024-06-03 | |
| dc.description | Author Contributions: Conceptualization, C.G.-S.; methodology, C.G.-S.; software, C.G.-S.; validation, C.G.-S., P.G. and M.A.P.; formal analysis, C.G.-S.; investigation, C.G.-S., P.G. and M.A.P.; data curation, C.G.-S.; writing—original draft preparation, C.G.-S., P.G. and M.A.P.; writing—review and editing, M.A.P.; funding acquisition, C.G.-S. and M.A.P. All authors have read and agreed to the published version of the manuscript. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 19 | |
| dc.format.extent | 338853 | |
| dc.identifier | 290060825 | |
| dc.identifier | 3e67049f-5956-44ea-a53a-176bc46a466f | |
| dc.identifier | 85197135997 | |
| dc.identifier.citation | Gutiérrez-Soto, C, Galdames, P & Palomino, M 2024, 'An Efficient Probabilistic Algorithm to Detect Periodic Patterns in Spatio-Temporal Datasets', Big data and cognitive computing, vol. 8, no. 6, 59. https://doi.org/10.3390/bdcc8060059 | en |
| dc.identifier.doi | 10.3390/bdcc8060059 | |
| dc.identifier.iss | 6 | en |
| dc.identifier.other | ORCID: /0000-0001-7850-416X/work/162251292 | |
| dc.identifier.uri | https://hdl.handle.net/2164/23638 | |
| dc.identifier.vol | 8 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Big data and cognitive computing | en |
| dc.subject | QA76 Computer software | en |
| dc.subject.lcc | QA76 | en |
| dc.title | An Efficient Probabilistic Algorithm to Detect Periodic Patterns in Spatio-Temporal Datasets | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Gutierrez-soto_etal_BDCC_An_Efficient_Probabilistic_VOR.pdf
- Size:
- 330.91 KB
- Format:
- Adobe Portable Document Format