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Towards Temporal Graph Databases
[article]
2016
arXiv
pre-print
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In spite of the extensive literature on graph databases (GDBs), temporal GDBs have not received too much attention so far. ...
In this paper we propose a data model and query language (denoted TEG-QL) for temporal GDBs, based on the notion of attribute graphs. ...
The temporal semantics in embedded in the language, as is normally the case in temporal databases [11] . ...
arXiv:1604.08568v2
fatcat:w4rt26h56rb6rcq2cvcqc45lki
A Concept for Graph-Based Temporal Similarity of Patient Data
2019
Studies in Health Technology and Informatics
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Temporal patient data are organized in a time-graph structure. For the quantification of similarity between cases, we exploit graph theory based approaches. ...
In this paper we describe a novel approach to use temporal data of electronic patient records based on similarity measures. ...
The exact requirements towards such database systems depend on the characteristics of the graph-based similarity measure. ...
doi:10.3233/shti190199
pmid:31437901
fatcat:wyzzp4kminholfcxfca5alnviu
Towards Unifying Vulnerability Information for Attack Graph Construction
[chapter]
2009
Lecture Notes in Computer Science
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Summary -Questions ■ Existing databases are either commercial or community-based ■ CVSS -Common Vulnerability Scoring System □ Metric indicates how critial a vulnerability is □ Metrics: base metrics, temporal ...
metrics, and environmental metrics Reader for new VDBs, e.g., ...□ Writers for different Attack Graph tools■ Universal vulnerability database providing unified vulnerability information (extracted from ...
doi:10.1007/978-3-642-04474-8_18
fatcat:yvvg2iimnbhcvirf3ieb3b6mbe
Spatio-Temporal Hyper Graph Partition Clustering Ensemble: An Overview
2014
International Journal of Software Engineering for Smart Device
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To classify spatio-temporal databases with improving robustness, stability and accuracy of unsupervised classification solutions, we including ensemble clustering using hybrid graph based partition technique.Traditional ...
For this reason we are introducing an ensemble clustering using hybrid graph partitioning algorithm for spatio-temporal databases which makes use of randomly initialized k-means algorithm for generation ...
Spatio-temporal databases Now a day's Spatio-temporal databases becomes very popular. ...
doi:10.21742/ijsesd.2014.1.1.02
fatcat:n4gzxna7vnfbbcn5lv4hldluve
Raising Time Awareness in Model-Driven Engineering: Vision Paper
2017
2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)
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In this context, historical data, also called temporal data, is becoming increasingly available and delivers means to analyse the history of applications, discover temporal patterns, and predict future ...
Despite the fact that most data that today's applications are dealing with is inherently temporal current approaches, methodologies, and environments for developing these applications don't provide sufficient ...
Unluckily, existing temporal graph databases do not support storing typed graphs. ...
doi:10.1109/models.2017.11
dblp:conf/models/Benelallam0MFBB17
fatcat:23gqmdrcinfytpn2suiurezrzq
Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network
[article]
2021
arXiv
pre-print
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We evaluate the proposed architecture on five benchmark emotion recognition databases spanning three different modalities (video, audio, motion capture), where each database captures one of the following ...
We achieve state-of-the-art performance on all five databases outperforming several competitive baselines and relevant existing methods. ...
EACH NEW COMPONENT IN L-GRIN CONTRIBUTES TOWARDS ITS PERFORMANCE. ...
arXiv:2008.02661v2
fatcat:xkxbvyve3fbylpve374zstvrem
ICDE conference 2015 detailed author index
2015
2015 IEEE 31st International Conference on Data Engineering
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Colgan, Maria
1253
Oracle Database In-Memory: A Dual Format In-Memory Database
Cong, Gao
255
Temporal Spatial-Keyword Top-k Publish/Subscribe
567
A General Graph-Based Model for Recommendation ...
Lee, Dongwon
1527
Data-Driven Crowdsourcing: Management, Mining, and Applications
Lee, Teck-Hua
1253
Oracle Database In-Memory: A Dual Format In-Memory Database
Lehner, Wolfgang
1259
Towards ...
doi:10.1109/icde.2015.7113260
fatcat:ep7pomkm55f45j33tkpoc5asim
Human action recognition based on graph-embedded spatio-temporal subspace
2012
Pattern Recognition
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In addition, a robustness test with noisy data indicates that our system is remarkably robust toward noise in the input images. ...
Finally, the Large Margin Nearest Neighbor (LMNN) metric learning method is applied to construct an efficient spatio-temporal subspace for classification purposes. ...
Performance comparison of different temporal vector types To investigate the contribution of the spatio-temporal information toward the performance of the proposed human action recognition system, a series ...
doi:10.1016/j.patcog.2012.04.002
fatcat:ezwhpqcjrberjo75ew3xjsvhn4
Indexing and retrieval of video based on spatial relation sequences
1999
Proceedings of the seventh ACM international conference on Multimedia (Part 2) - MULTIMEDIA '99
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An important aspect of video data is its spatio-temporal aemantics. ...
Such descriptions are used for content-baaed retrieval processing baaed on a graphical representation, named Coordinate Valued Neighborhood Graph. ...
Figure 2: (a) Neighborhood Graph of directional relations (b) Coordinate Valued Neighborhood Graph
Figure 3 : 3 Recall-PrecisionGraphs for (0) temporal-absolute and (*) temporal-invariant search. ...
doi:10.1145/319878.319910
dblp:conf/mm/DagtasG99
fatcat:fcknrcn46bgajap7lpbqqm7oje
Graph-Representation of Patient Data: a Systematic Literature Review
2020
Journal of medical systems
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Most of them use graphs to represent temporal relations, often representing the connection among laboratory data points. ...
The databases MEDLINE, Web of Science, IEEE Xplore and ACM digital library were queried by using the search terms health record, graph and related terms. ...
However, the development towards NoSQL database management systems also influenced EHR systems [4, 5] . ...
doi:10.1007/s10916-020-1538-4
pmid:32166501
fatcat:z4h3rmfdafaadcuumdivlzoeci
An Analytics-Aware Conceptual Model for Evolving Graphs
[chapter]
2013
Lecture Notes in Computer Science
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Limitation of current graph models Figure 1: Sample networks modeled as a property graphs In current graph databases, the property graph model is the most adopted. ...
However, there is no commonly agreed conceptual model for graph databases. Moreover, none explicitly suggests tools for graph evolution tracking. ...
However, there is no commonly agreed conceptual model for graph databases. Moreover, none explicitly suggests tools for graph evolution tracking. ...
doi:10.1007/978-3-642-40131-2_1
fatcat:liw4lladpbcyjd7pna7d4ustsa
An Algorithm to Simulate the Temporal Database Using Exponential Distribution
2012
IOSR Journal of Computer Engineering
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Since the early eighties, an active temporal database research community has sought new insight into the management of time-referenced, or temporal, data and has developed concepts, tools and techniques ...
Much of this activity has been motivated by the observations that most databases contain substantial amounts of temporal data and that conventional database technology offers precious little support for ...
Introduction A first step towards a temporal database thus is to timestamp the data. This allows the distinction of different database states. ...
doi:10.9790/0661-0134650
fatcat:tgyaj2a7jnh2vmlchq4guzwqfa
Data Model, Query Language, and Real-Time Traffic Flow Analysis in Dynamic Transportation Network Based Moving Objects Databases
2010
Journal of Software (Chinese)
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Data model, query language, and real-time traffic flow analysis in dynamic transportation network based moving objects databases. ...
intime, moving {gpoint}∪BASE∪SPATIAL TEMPORAL Among the type constructors listed in Group 2, graph state (GSTATE) data types, graph temporal (GTEMPORAL) data types, and dynamic graph (GRAPH) data types ...
Graph temporal data types Graph temporal data types are used to track the state history and also the life span of a junction or a route. Definition 6 (intimestate). ...
doi:10.3724/sp.j.1001.2009.00571
fatcat:whezrhdet5fi5kgtoahik5kdu4
Exploring the use of time-varying graphs for modelling transit networks
[article]
2018
arXiv
pre-print
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Keywords: Transit Networks,Mobility Pattern,Time-Varying Graph model, Graph Databaseand Graph Analytics Keywords: Transit Networks,Mobility Pattern,Time-Varying Graph model, Graph Database and Graph Analytics ...
Dynamics in this relationshipalsohave been detected using network metrics such as temporal shortest paths, degree, betweenness and PageRank centralities as well as temporal network diameter and density ...
Connectivity is one of the key benefits of graph database over relational database. A graph is said to be connected if there is a path between every pair of vertex. ...
arXiv:1803.07610v1
fatcat:cendpvzqxvflpabdc4ml5scjn4
Tutorial on graph stream analytics
2021
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems
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In this short tutorial, we cover recent methods to analyze and model network data accessible as a stream of edges, such as interactions in a social network service, or any other graph database with real-time ...
First we introduce the data streaming computational model and give examples of the so-called temporal networks. ...
graphs quickly from a large database via graph-based indices [65] . ...
doi:10.1145/3465480.3468293
fatcat:a2odkdlvhrhwbhohqlezvnogre
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