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Spatiotemporal Data Mining: A Survey
[article]
2022
arXiv
pre-print
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Spatiotemporal data mining aims to discover interesting, useful but non-trivial patterns in big spatial and spatiotemporal data. ...
This problem is challenging because of the high societal cost of spurious patterns and exorbitant computational cost. Recent surveys of spatiotemporal data mining need update due to rapid growth. ...
ACKNOWLEDGMENTS We would like to thank Kim Koffolt and the members of the University of Minnesota Spatial Computing Research Group for their comments. ...
arXiv:2206.12753v1
fatcat:jwm4mcxi5na7jbmbciwlrtt554
Discovering spatiotemporal event sequences
2016
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems - MobiGIS '16
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who contributed to my growth, both personally and professionally. ...
Finally, I take this opportunity to thank all my good friends, especially Ezgi, Can, Feyyaz, Semih, Akif, Aytek, Evrim, Yasin, Oner, Fatih, and Deniz, who made my last five years more enjoyable. ...
Rafal Angryk, for believing in me at first, staying behind me at difficult times, and guiding me with his expertise. I would also like to thank each of my committee members -Dr. ...
doi:10.1145/3004725.3004735
fatcat:3m7tehj3yjawdg2htdvuwn6guu
Detecting Multineuronal Temporal Patterns in Parallel Spike Trains
2012
Frontiers in Neuroinformatics
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We present a non-parametric and computationally efficient method that detects spatiotemporal firing patterns and pattern sequences in parallel spike trains and tests whether the observed numbers of repeating ...
repeating spatiotemporal patterns and pattern sequences. ...
Anton Sirota for helpful discussions on various statistical topics, and Raoul-Martin Memmesheimer for carrying out some of the computations. ...
doi:10.3389/fninf.2012.00018
pmid:22661942
pmcid:PMC3357495
fatcat:frbmsmufwjcohd3aydqmajy3by
Spatiotemporal event detection: a review
2020
International Journal of Digital Earth
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Spatiotemporal event detection serves as a gateway to enable a better understanding by detecting events that represent the abnormal status of relevant phenomena. ...
The observations have provided an unprecedented opportunity to better understand and respond to the spatiotemporal dynamics of the environment, urban settings, health and disease propagation, business ...
This community paper is one of a set of efforts to setup the foundation for future spatiotemporal studies/sciences. Yang, Yu and Bambacus initialized the concept for this paper. ...
doi:10.1080/17538947.2020.1738569
fatcat:urbuc2zii5bajjmmkzu6idyrg4
Acute and non-resolving inflammation associate with oxidative injury after human spinal cord injury
2020
Brain
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Lymphocyte numbers were low and mainly consisted of CD8+ T cells. ...
Only in a subpopulation of patients, CD138+/IgG+ plasma cells were detected, which could serve as candidate cellular sources for a developing humoral immunity. ...
Acknowledgements We thank Marianne Leißer, Ulrike Ko ¨ck and Angela Kury for excellent technical assistance with immunohistological techniques. ...
doi:10.1093/brain/awaa360
pmid:33578421
pmcid:PMC7880675
fatcat:pwthaz3zhjhvnmkpqrnlsdkfiu
50 Years of Cetacean Strandings Reveal a Concerning Rise in Chilean Patagonia
2020
Scientific Reports
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This paper aims to characterize CS patterns and describe their fine-scale spatiotemporal dynamics. We analysed spatial and spatiotemporal CS patterns in Chile from January 1968 to January 2020. ...
of changes in climate conditions and of an increase in monitoring activities as primary drivers for such patterns, particularly important in Chilean Patagonia. ...
Jhoann Canto from the National Natural History Museum and Mr. Jorge Gibbons from the University of Magallanes. ...
doi:10.1038/s41598-020-66484-x
pmid:32528030
pmcid:PMC7290033
fatcat:l6b3guu7ojgp5icvc4j2i5ahoq
Dynamics of large-scale fMRI networks: Deconstruct brain activity to build better models of brain function
2017
Current Opinion in Biomedical Engineering
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build better models of brain function and dysfunction. ...
In particular, the HMM framework has been applied for covariance states in terms of a sparse basis of co-activation patterns [53] . ...
doi:10.1016/j.cobme.2017.09.008
fatcat:oo4evu6w2jgtvbithzy3emlyny
Table of contents
2021
IEEE transactions on intelligent transportation systems (Print)
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Marcenaro, and C. RegazzoniTowards Better Detection and Analysis of Massive Spatiotemporal Co-Occurrence Patterns .............................. ................................... Y. Wu, D. Weng, Z. ...
Performance Measurement and Analysis Method for Software-Defined Networking of IoV ........................... ......................................................................................... ...
doi:10.1109/tits.2021.3082816
fatcat:cpd5gpodqzaw5bafrfzpjni2sm
Designing Visual Analytics Methods for Massive Collections of Movement Data
2007
Cartographica
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This is the unspecified version of the paper. This version of the publication may differ from the final published version. ...
Acknowledgement The study is a part of the EU-funded project Geographic Privacy-Aware Knowledge Discovery and Delivery (GeoPKDD), grant no. IST-6FP-014915. See http:// www.geopkdd.eu. ...
, and co-occurrence of behavioural patterns. ...
doi:10.3138/carto.42.2.117
fatcat:f4fu6b27jnfijdfcaboz3scnqa
Brain-wide neural co-activations in resting human
[article]
2021
bioRxiv
pre-print
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with the prominent spatial phenomena of global patterns and anti-state pairs of co-(de)activations. ...
Using state-of-the-art signal processing techniques, we reconstructed cortical neural tomography from resting-state EEG and extracted component-based co-activation patterns (cCAPs). ...
Acknowledgement We gratefully acknowledge the financial support from NSF RII Track-2 FEC 1539068 and NIH U54HD104461. ...
doi:10.1101/2021.12.03.471116
fatcat:bd6icdmmtjcivgcg3plphnjrhe
Scanning the Issue
2021
IEEE transactions on intelligent transportation systems (Print)
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Vehicle and pedestrian detection are one of the critical tasks in autonomous driving. ...
This article presents a state-of-the-art review of different approaches for driver fatigue and stress detection and evaluation with the focus on various signals (biological, car, and video) and derived ...
Towards Better Detection and Analysis of Massive Spatiotemporal Co-Occurrence Patterns Y. Wu, D. Weng, Z. Deng, J. Bao, M. Xu, Z. Wang, Y. Zheng, Z. Ding, and W. ...
doi:10.1109/tits.2021.3079675
fatcat:mtssvivuebcplifv6bw233jbkq
Representing Urban Functions through Zone Embedding with Human Mobility Patterns
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
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Specifically, we extract human mobility patterns from taxi trajectories, and use the co-occurrence of origin-destination zones to learn zone embeddings. ...
To utilize the spatio-temporal characteristics of human mobility patterns, we incorporate mobility direction, departure/arrival time, destination attraction, and travel distance into the modeling of zone ...
Acknowledgments This research was partially supported by IFLYTEK Co., Ltd. and the National Science Foundation (NSF) via the grant number IIS-1648664. ...
doi:10.24963/ijcai.2018/545
dblp:conf/ijcai/YaoFLHX18
fatcat:r5nk2yhouvdtjajzwbcmujyabi
EBM
2013
Proceedings of the 2013 international conference on Management of data - SIGMOD '13
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We examine two independent ways: diversity and weighted frequency, through which co-occurrences contribute to social strength. ...
analysis. ...
to a location and detects the significance of each single co-occurrence to social strength. ...
doi:10.1145/2463676.2465301
dblp:conf/sigmod/PhamSL13
fatcat:apykdgwumbgordrtpvhuhfegxa
Big Data Reduction Methods: A Survey
2016
Data Science and Engineering
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patterns. ...
Modern big data systems collect inherently complex data streams due to the volume, velocity, value, variety, variability, and veracity in the acquired data and consequently give rise to the 6Vs of big ...
The alternate to causality analysis is the assessment of influence among different nodes and establishing the connection between them on the basis of their co-occurrence. ...
doi:10.1007/s41019-016-0022-0
fatcat:3ivz52kpz5dhratokm4uenuoc4
Integrating Spatiotemporal Epidemiology, Eco-Phylogenetics, and Distributional Ecology to Assess West Nile Disease Risk in Horses
2021
Viruses
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Research describing the drivers of West Nile disease in horses is greatly needed to better anticipate the spatial and temporal extent of disease risk, improve disease surveillance, and alleviate future ...
To help meet this need, we integrated techniques from spatiotemporal epidemiology, eco-phylogenetics, and distributional ecology to assess West Nile disease risk in horses throughout the contiguous US. ...
The spatiotemporal transitions observed between areas of over-dispersion and clustering tracked seasonal bird migration patterns in the US. ...
doi:10.3390/v13091811
pmid:34578392
pmcid:PMC8473291
fatcat:hlmn3abkyngtxcuxmqhdgmkggm
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