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Spatiotemporal Data Mining: A Survey [article]

Arun Sharma, Zhe Jiang, Shashi Shekhar
2022 arXiv   pre-print
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]

Ali Hamdi, Khaled Shaban, Abdelkarim Erradi, Amr Mohamed, Shakila Khan Rumi, Flora Salim
2021 arXiv   pre-print
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]

Isma Hadji, Richard P. Wildes
2017 arXiv   pre-print
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

Cunjin Xue, Qing Dong, Xiaohong Li, Xing Fan, Yilong Li, Shuchao Wu
2015 Remote Sensing  
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  
., +, 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


N. Nukavarapu, S. Durbha
2020 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

O. Shriki, J. Alstott, F. Carver, T. Holroyd, R. N. A. Henson, M. L. Smith, R. Coppola, E. Bullmore, D. Plenz
2013 Journal of Neuroscience  
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

Venkateswara Rao K
2012 International Journal of Computer Science & Engineering Survey  
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

Rory G. Townsend, Pulin Gong, Daniel Bush
2018 PLoS Computational Biology  
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

Shashi Shekhar, Zhe Jiang, Reem Ali, Emre Eftelioglu, Xun Tang, Venkata Gunturi, Xun Zhou
2015 ISPRS International Journal of Geo-Information  
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

Sasan Mahmoodi
2015 Journal of Mathematical Imaging and Vision  
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  
., 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

Mohammad Arif Ul Alam
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


2001 International Journal of Bifurcation and Chaos in Applied Sciences and Engineering  
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

Sebastian Mittelstadt, Xiaoyu Wang, Todd Eaglin, Dennis Thom, Daniel Keim, William Tolone, William Ribarsky
2015 2015 48th Hawaii International Conference on System Sciences  
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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