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Co-occurrence prediction in a large location-based social network
2013
Frontiers of Computer Science
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Based on such bag representations, we define a similarity metric called habits similarity to measure the similarity between two users' check-in habits. ...
First, we investigate the relationship between the spatio-temporal cooccurrences and social ties, and the results show that the cooccurrences are strongly correlative with the social ties. ...
measure the similarity between two users from their check-in activities. ...
doi:10.1007/s11704-013-3902-8
fatcat:nnjda23aebgklpwnzowip2hcw4
Similarity Analysis and Modeling in Mobile Societies: The Missing Link
[article]
2010
arXiv
pre-print
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This measures the difference of the major spatio-temporal behavioral trends and can be used to cluster users into similarity groups or communities. ...
We then analyze and contrast similarity distributions of mobile user populations in two settings: (i) based on real measurements from four major campuses with over ten thousand users for a month, and ( ...
measure index that shows the closeness of two users in spatio-temporal dimension. ...
arXiv:1006.2552v1
fatcat:wbr5sofq2rb6lmxna55bimhqfe
Spatio-Temporal Small Worlds for Decentralized Information Retrieval in Social Networking
[article]
2012
arXiv
pre-print
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cohesion, giving rise to the concept of Spatio-Temporal Small Worlds. ...
Using a large Twitter dataset, we investigate these approaches and especially investigate the question in how far spatio-temporal contexts can act as a conceptual bracket implicating social and semantic ...
Sub- Figure 3 (f ) shows a correlation between the geographic similarity of information spaces of users and their semantic similarity. ...
arXiv:1209.2868v1
fatcat:w3dbwdhb2vd3lgt74zneejmhnu
Similarity analysis and modeling in mobile societies
2010
Proceedings of the 5th ACM workshop on Challenged networks - CHANTS '10
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This measures the difference of the major spatio-temporal behavioral trends and can be used to cluster users into similarity groups or communities. ...
We then analyze and contrast similarity distributions of mobile user populations in two settings: (i) based on real measurements from four major campuses with over ten thousand users for a month, and ( ...
This quantitatively compares the major spatio-temporal behavioral trends between mobile network users, and can be used for clustering users into similarity groups or communities. ...
doi:10.1145/1859934.1859938
dblp:conf/mobicom/ThakurHH10
fatcat:kwmjfk2mr5h2bnfa3czxejl474
Spatio-temporal representation and retrieval using moving object's trajectories
2000
Proceedings of the 2000 ACM workshops on Multimedia - MULTIMEDIA '00
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Based on our representation scheme, we present a new similarity measure algorithms for the traiectory of moving objects, which provides ranking for the retrieved video results. ...
In this paper, we propose a new spatio-temporal representation scheme using moving objects' trajectories in video data. ...
In Section 3, we propose a new spatio-temporal representation scheme using moving objects' trajectories and describe a new similarity measure algorithm to calculate the similarity between a user query ...
doi:10.1145/357744.357938
dblp:conf/mm/ShimC00
fatcat:6wwd34q7yrhztizzo27gtvgypy
Detecting dynamic association among twitter topics
2012
Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion
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Experimental results show the improvement of the proposed model compared to static spatio-temporal method and co-occurrence method. ...
The proposed model utilizes a time constrained method to extract event-based spatio-temporal topic association, and constructs a dynamic temporal map to represent the obtained result. ...
Spatio-temporal Similarity Calculation After representing topics as the spatio-temporal state series, we utilize Euclidean distance to measure the spatial similarity Sim S and temporal similarity Sim T ...
doi:10.1145/2187980.2188149
dblp:conf/www/SongLB12
fatcat:idr4lmkokfctdhadabxybu5era
Supervised learning on graphs of spatio-temporal similarity in satellite image sequences
[article]
2007
arXiv
pre-print
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Therefore, we adjust a parametric model evaluating similarity types between graph patterns in order to represent user-specific semantics attached to spatio-temporal phenomena. ...
This enables to links user interest to a specific similarity model between graph patterns. ...
The goal of such an supervised learning procedure is the inference of similarity measurements between the spatio-temporal processes present in the image sequences, which can then enable the retrieval of ...
arXiv:0709.3013v2
fatcat:c32s4h7fpfbbxfycd6pdnkt3la
Bayesian Learning on Graphs for Reasoning on Image Time-Series
2004
AIP Conference Proceedings
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From these examples we infer probabilities of the Bayesian network, based on a Dirichlet model, that links user interest to a specific similarity measurement. ...
Thus, the learning step is performed by the incremental definition of a spatio-temporal event type via user-provided positive and negative sub-graph examples. ...
An example of the connection between spatio-temporal patterns, user semantics and graphs is provided in Fig. 1 . ...
doi:10.1063/1.1835206
fatcat:vukmcbd6qfau5cul2wzwetscl4
Building natural language responses from natural language questions in the spatio-temporal context
2021
International Journal of Intelligent Information and Database Systems
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The process is generally two-fold: 1) formatting the natural language user query to be processed by the GDB engine; 2) translating the GDB retrieved answer to a text easily interpreted by all GIS users ...
In this paper we explore a new approach which alleviates nomad GIS users from any formatting effort by only using the natural language as a GDB communication mean. ...
The latter consists in measuring the semantic similarities between the different adjacent sentences of the same textual answer. ...
doi:10.1504/ijiids.2021.10033770
fatcat:mganizqmvjeipdqmrhes4ti63e
A Framework for Visual Analytics of Spatio-Temporal Sensor Observations from Data Streams
2018
ISPRS International Journal of Geo-Information
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This paper presents (1) a state of the art review into visual analytics of geospatial, spatio-temporal streaming data, and (2) proposes a framework based on the identified gaps from the review. ...
The framework consists of (1) the data model that characterizes the sensor observation data, (2) the user model, which addresses the user queries and manages domain knowledge, (3) the design model, which ...
Acknowledgments: The authors would like to thank the four anonymous reviewers and the editorial team for their contribution towards improving the paper. ...
doi:10.3390/ijgi7120475
fatcat:znmxbnrpd5c75kmqoayiv2boiq
Inferring user relationship from hidden information in WLANs
2012
MILCOM 2012 - 2012 IEEE Military Communications Conference
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proximity and spatio-temporal behavior. ...
By measuring WLAN data, we demonstrate that device owners with social relationship tend to share access points, or show similar behavior patterns in wireless communications (e.g. go to the same place periodically ...
or the U.S. ...
doi:10.1109/milcom.2012.6415713
dblp:conf/milcom/ChengMCKBK12
fatcat:6movqm25ardltl4ufkh5mfycae
Retrieval of Similar Evolution Patterns from Satellite Image Time Series
2018
Applied Sciences
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The method is based on a query-by-example procedure whose inputs are evolution patterns provided by the end-user and outputs are other similar spatio-temporal patterns. ...
The comparison between the temporal sequences and the queries is performed using the Dynamic Time Warping alignment method, whereas the separation between similar and non-similar patterns is determined ...
Acknowledgments: The authors thank NASA USGS for making freely available the datasets for research purposes.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app8122435
fatcat:ybwv3ps24bccnp4x53o2vnpxp4
Implementation and evaluation of a hypercube-based method for spatiotemporal exploration and analysis
2004
ISPRS journal of photogrammetry and remote sensing (Print)
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instances of objects, this hierarchy covers the three possible domains of spatio-temporal topological constrains e.g. spatial, temporal and spatio-temporal. ...
Our approach implements spatio-temporal topological operators in multidimensional databases (MDDBs) through a hierarchy of topological operators representing spatial and temporal relationships between ...
This guarantees that the implementation of the Spatio-Temporal TOD in a MDDB does not hinder the users' train-of-thought. ...
doi:10.1016/j.isprsjprs.2003.12.002
fatcat:qq6phwv7nbcclnayzvx6rcg2j4
Incremental Clustering of Mobile Objects
2007
2007 IEEE 23rd International Conference on Data Engineering Workshop
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In this research we use a compact representation of a mobile trajectory and define a new similarity measure between trajectories. ...
We also propose an incremental clustering algorithm for finding evolving groups of similar mobile objects in spatio-temporal data. ...
The similarity measures we have reviewed are not fitted for spatio-temporal patterns. ...
doi:10.1109/icdew.2007.4401044
dblp:conf/icde/ElnekaveLM07
fatcat:uv2pesdkdfbqpdfokemkvpmc5i
Region-Based Message Exploration over Spatio-Temporal Data Streams
2019
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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We develop a region-based message exploration mechanism that retrieve spatio-temporal message clusters from a stream of spatio-temporal messages based on users' preferences on message topic and message ...
Massive amount of spatio-temporal data that contain location and text content are being generated by location-based social media. These spatio-temporal messages cover a wide range of topics. ...
While for others, a score that measures the spatial proximity between the query location and the location of a new spatio-temporal message m (Hu et al. 2015a; Hu et al. 2015b; , or a score that measures ...
doi:10.1609/aaai.v33i01.3301873
fatcat:u2kpkkhuwjccvmhnexassiymgy
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