Back to Search
Start Over
Space Time Series Clustering: Algorithms, Taxonomy, and Case Study on Urban Smart Cities
- Source :
- Engineering Applications of Artificial Intelligence, Engineering Applications of Artificial Intelligence, 2020, 95, pp.#103857. ⟨10.1016/j.engappai.2020.103857⟩, Engineering Applications of Artificial Intelligence, Elsevier, 2020, 95, pp.#103857. ⟨10.1016/j.engappai.2020.103857⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; This paper provides a short overview of space time series clustering, which can be generally grouped into three main categories such as: hierarchical, partitioning-based, and overlapping clustering. The first hierarchical category is to identify hierarchies in space time series data. The second partitioning-based category focuses on determining disjoint partitions among the space time series data, whereas the third overlapping category explores fuzzy logic to determine the different correlations between the space time series clusters. We also further describe solutions for each category in this paper. Furthermore, we show the applications of these solutions in an urban traffic data captured on two urban smart cities (e.g., Odense in Denmark and Beijing in China).The perspectives on open questions and research challenges are also mentioned and discussed that allow to obtain a better understanding of the intuition, limitations, and benefits for the various space time series clustering methods. This work can thus provide the guidances to practitioners for selecting the most suitable methods for their used cases, domains, and applications.
- Subjects :
- 0209 industrial biotechnology
Space time series
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
Computer science
Space time
02 engineering and technology
Disjoint sets
computer.software_genre
Fuzzy logic
VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420
Clustering
020901 industrial engineering & automation
Artificial Intelligence
Control and Systems Engineering
11. Sustainability
0202 electrical engineering, electronic engineering, information engineering
Space–time series
020201 artificial intelligence & image processing
Data mining
Electrical and Electronic Engineering
Cluster analysis
computer
Subjects
Details
- Language :
- English
- ISSN :
- 09521976
- Database :
- OpenAIRE
- Journal :
- Engineering Applications of Artificial Intelligence, Engineering Applications of Artificial Intelligence, 2020, 95, pp.#103857. ⟨10.1016/j.engappai.2020.103857⟩, Engineering Applications of Artificial Intelligence, Elsevier, 2020, 95, pp.#103857. ⟨10.1016/j.engappai.2020.103857⟩
- Accession number :
- edsair.doi.dedup.....2e78afe3753a4d9c4746d458295c2e89