Spatiotemporal data mining: a survey on challenges and open problems
Author | Hamdi A. |
Author | Shaban K. |
Author | Erradi A. |
Author | Mohamed A. |
Author | Rumi S.K. |
Author | Salim F.D. |
Available date | 2022-04-21T08:58:20Z |
Publication Date | 2022 |
Publication Name | Artificial Intelligence Review |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1007/s10462-021-09994-y |
Abstract | Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advances and report a wealth of important progress in this field. However, STDM challenges and problems are not thoroughly discussed and presented in articles of their own. We attempt to fill this gap by providing a comprehensive literature survey on state-of-the-art advances in STDM. We describe the challenging issues and their causes and open gaps of multiple STDM directions and aspects. Specifically, we investigate the challenging issues in regards to spatiotemporal relationships, interdisciplinarity, discretisation, and data characteristics. Moreover, we discuss the limitations in the literature and open research problems related to spatiotemporal data representations, modelling and visualisation, and comprehensiveness of approaches. We explain issues related to STDM tasks of classification, clustering, hotspot detection, association and pattern mining, outlier detection, visualisation, visual analytics, and computer vision tasks. We also highlight STDM issues related to multiple applications including crime and public safety, traffic and transportation, earth and environment monitoring, epidemiology, social media, and Internet of Things. 2021, The Author(s), under exclusive licence to Springer Nature B.V. |
Sponsor | Qatar Foundation;Qatar National Research Fund;RMIT University |
Language | en |
Publisher | Springer Science and Business Media B.V. |
Subject | Open Data Surveys Visualization Data characteristics Environment monitoring Interdisciplinarity Multiple applications Spatio-temporal data Spatio-temporal data mining Spatio-temporal relationships Traffic and transportation Data mining |
Type | Article |
Pagination | 1441-1488 |
Issue Number | 2 |
Volume Number | 55 |
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