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Spatiotemporal Data Mining: A Survey
[article]
2022
arXiv
pre-print
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Furthermore, it has a detailed survey of parallel formulations of spatiotemporal data mining. ...
In addition, they did not adequately survey parallel techniques for spatiotemporal data mining. This paper provides a more up-to-date survey of spatiotemporal data mining methods. ...
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
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
[article]
2021
arXiv
pre-print
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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. ...
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. ...
Spatiotemporal Visual Analytics STDM task of visual analytics considers identifying significant locations and periods along with movements such as a bus route [176] . ...
arXiv:2103.17128v1
fatcat:ci5pt5bytndr5inolznjsaizpi
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
[article]
2017
arXiv
pre-print
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The multilayer architecture that results systematically reveals hierarchical image structure in terms of multiscale, multiorientation properties of visual spacetime. ...
This paper presents a novel hierarchical spatiotemporal orientation representation for spacetime image analysis. ...
Most biologicallybased approaches mimic the multilayered architecture of the visual cortex with cascades of simple and complex cells [29, 24, 16] . ...
arXiv:1708.06690v1
fatcat:qrfwj3guurbxphjv5b5j2qgxra
A Remote-Sensing-Driven System for Mining Marine Spatiotemporal Association Patterns
2015
Remote Sensing
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The third module, knowledge visualization, designs a series of interactive interfaces to visualize the marine data at a variety of scales, from global to grid pixel. ...
We develop here an image-driven remote-sensing mining system, RSMapMining (Remote Sensing driven Marine spatiotemporal Association Pattern Mining system), which consists of three modules. ...
The visualization components (right side in Figure 5) are listed as follows. Cascading representation tree: This component represents an overview at large scale, showing the locations where marine environmental ...
doi:10.3390/rs70709149
fatcat:qhpjtzh3u5dd7lls7tvgwhmedq
2020 Index IEEE Transactions on Visualization and Computer Graphics Vol. 26
2021
IEEE Transactions on Visualization and Computer Graphics
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., +, TVCG Jan. 2020 949-959 DeepOrganNet: On-the-Fly Reconstruction and Visualization of 3D / 4D Lung Models from Single-View Projections by Deep Deformation Network. ...
., +, TVCG Jan. 2020 938-948 Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration. ...
., +, TVCG Jan. 2020 1140-1150 RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query. ...
doi:10.1109/tvcg.2021.3111804
fatcat:lvhpoz5sqjhclo3roocrdtzs2m
HEALTHCARE CRITICAL INFRASTRUCTURE STOCHASTIC INTERDEPENDENCIES SIMULATION MODEL FOR SMART CITIES: FLOOD DISASTER SCENARIO
2020
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This kind of an integrated simulation model will help the end-user to understand system dynamics in real-time, visualize and predict the propagation of cascading failure scenarios in an Interdependent ...
A failure in one of the CI results in failure of the dependent CI. During a disaster event such as flooding, the failures propagate and cause cascading failures like a domino effect. ...
a spatiotemporal scale and helps the user in decision making. ...
doi:10.5194/isprs-annals-v-4-2020-123-2020
fatcat:ek6aof6j6vcy5pgcgr3xhxebmq
Neuronal Avalanches in the Resting MEG of the Human Brain
2013
Journal of Neuroscience
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We identified large deflections at single MEG sensors and combined them into spatiotemporal cascades on the sensor array using multiple timescales. Cascade size distributions obeyed power laws. ...
This relationship was robust to scaling and coarse graining of the sensor array. It was absent in phase-shuffled controls with the same power spectrum or empty scanner data. ...
Analytically, a branching process at criticality produces a scale-invariant cascade size distribution following a power law with exponent ␣ of Ϫ3/2. ...
doi:10.1523/jneurosci.4286-12.2013
pmid:23595765
pmcid:PMC3665287
fatcat:wqbireslzvehhi44kzudulk6oe
Spatiotemporal Data Mining: Issues, Tasks And Applications
2012
International Journal of Computer Science & Engineering Survey
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In this paper, the issues and challenges related to spatiotemporal data representation, analysis, mining and visualization of knowledge are presented. ...
Spatiotemporal data usually contain the states of an object, an event or a position in space over a period of time. ...
Cascading Spatiotemporal Pattern discovery Cascading spatiotemporal patterns discovery [37] from a Boolean spatiotemporal event types data set uncovers partially ordered subsets of event types whose ...
doi:10.5121/ijcses.2012.3104
fatcat:smom5x2ybbgilavylsg7dju3pu
Detection and analysis of spatiotemporal patterns in brain activity
2018
PLoS Computational Biology
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Such spatiotemporal patterns have been linked to brain function and observed across multiple recording methodologies and scales. ...
This enables neural data to be represented by the activity of a small number of independent spatiotemporal modes, providing an alternative to existing dimensionality reduction techniques which separate ...
Solomon for sharing the marmoset LFP data from [49] , and Changsong Zhou and Thomas Knöpfel for sharing the mouse imaging data from [50] . ...
doi:10.1371/journal.pcbi.1006643
pmid:30507937
pmcid:PMC6292652
fatcat:5luvdmqnenbz7ed5cqwtbuipie
Spatiotemporal Data Mining: A Computational Perspective
2015
ISPRS International Journal of Geo-Information
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Spatiotemporal data mining studies the process of discovering interesting and previously unknown, but potentially useful patterns from large spatiotemporal databases. ...
The complexity of spatiotemporal data and intrinsic relationships limits the usefulness of conventional data science techniques for extracting spatiotemporal patterns. ...
Zhe Jiang contributed to the organization of the paper, the writing of Sections 1-3, 4.1-4.3, and 5, and coordinating with other authors. ...
doi:10.3390/ijgi4042306
fatcat:hwnwbw7wm5hx5c4ncrvv533qju
Linear Neural Circuitry Model for Visual Receptive Fields
2015
Journal of Mathematical Imaging and Vision
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Our model is also in good agreement with the numerical results of the Gaussian scale space theory for the visual receptive fields. ...
The model presented here leads to a formulation similar to the Gaussian scale space theory for the transmission of visual signals through various layers of neurons. ...
With a large number of cascaded layers, n, b is a model parameter defined in Appendix C. ...
doi:10.1007/s10851-015-0594-8
fatcat:df2m4tknijfcncaxe3nsgqmkqu
2018 Index IEEE Transactions on Visualization and Computer Graphics Vol. 24
2019
IEEE Transactions on Visualization and Computer Graphics
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., TVCG Aug. 2018 2284-2297 Inpainting via Two-Stage Low Rank Approximation; TVCG June 2018 2023-2036 Summarization and Stage Analysis of Event Sequence Data; TVCG Jan. 2018 56-65 Guo, Y., see Liu ...
Leimkuhler, T., þ, TVCG June 2018 2037-2050 StreetVizor: Visual Exploration of Human-Scale Urban Forms Based on Efficient Empty Space Skipping for Large-Scale Volume Rendering. ...
.,
þ, TVCG May 2018 1705-1716
Data flow analysis
Data Flow Analysis and Visualization for Spatiotemporal Statistical Data
without Trajectory Information. ...
doi:10.1109/tvcg.2018.2885445
fatcat:xtccdnalwfhudp3qdxofz4kqpi
College Student Retention Risk Analysis from Educational Database Using Multi-Task Multi-Modal Neural Fusion
2022
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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structured data. ...
We evaluate MSNF-MTCL on a large educational database consists of 36,445 college students over 18 years period of time that provides promising performances comparing with the nearest state-of-art models ...
Limitations and Future Work We utilized a large scale educational data of 18 years from only one university which may create distribution biases. ...
doi:10.1609/aaai.v36i11.21545
fatcat:b422hdjc5rcb7oiup4qyxlasd4
VISUALIZATION OF CORRELATION CASCADE IN SPATIOTEMPORAL CHAOS USING WAVELETS
2001
International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
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2000 pre-print arXiv:nlin/0007003v1 fatcat:ljsps266tzaerbw4ckukcymtpi
Especially, for the non-locally interacting case where the system exhibits fractal amplitude patterns and power-law spectrum, it clearly visualizes the dynamical cascade process of spatio-temporal correlation ...
between scales. ...
Kobayashi for their warm hospitality during his stay in University of Tokyo, and T. Takami and T. Mizuguchi for providing a nice visualization tool. ...
doi:10.1142/s0218127401002833
fatcat:l4w5glfypvgz7pjb5a3zpzlfhy
An Integrated In-Situ Approach to Impacts from Natural Disasters on Critical Infrastructures
2015
2015 48th Hawaii International Conference on System Sciences
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In this paper, we present a unique visual analytics control room system that integrates the separate visualizations of the different network infrastructures with social media analysis and mobile in-situ ...
Cascading effects are hard to discover and often the root causes of problems remain unclear. ...
For the interactive analysis of network related data sources such as server logs or BGP protocol data, Fischer et al. developed a visual analytics expert system in [12] . ...
doi:10.1109/hicss.2015.136
dblp:conf/hicss/MittelstadtWETK15
fatcat:kwlqlp4vzfesnkr65wzvhqepxm
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