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Visualizing Temporal Patterns in Large Multivariate Data using Modified Globbing

M. Glatter, Jian Huang, S. Ahern, J. Daniel, Aidong Lu
2008 IEEE Transactions on Visualization and Computer Graphics  
Extracting and visualizing temporal patterns in large scientific data is an open problem in visualization research.  ...  In this work, we have developed a textual pattern matching approach for specifying and identifying general temporal patterns.  ...  We allow querying for temporal patterns whose location in time and discrete data values are not known a priori.  ... 
doi:10.1109/tvcg.2008.184 pmid:18988998 fatcat:ve64his2sfabxktpppqcmv3mt4

Developing an Oracle-Based Spatio-Temporal Information Management System [chapter]

Lei Zhao, Peiquan Jin, Lanlan Zhang, Huaishuai Wang, Sheng Lin
2011 Lecture Notes in Computer Science  
In this paper, we present an extension of Oracle, named STOC (Spatio-Temporal Object Cartridge), to support spatio-temporal data management in a practical way.  ...  And finally, a case study of STOC is presented, which shows that STOC is effective to represent and query spatio-temporal data on the basis of Oracle.  ...  Quantification operations: return whether or not the moving bool/moving string always/sometimes equals to the specific bool/string in valid time.  ... 
doi:10.1007/978-3-642-20244-5_16 fatcat:phfkc5xsijhanam3ccovmobumy

A Temporal Relational Algebra as Basis for Temporal Relational Completeness

Alexander Tuzhilin, James Clifford
1990 Very Large Data Bases Conference  
We define a temporal algebra that is applicable to any temporal relational data model supporting discrete linear bounded time.  ...  among various temporal query languages and algebras.  ...  based on the first-order logic with explicit reference to time for the discrete models of time.  ... 
dblp:conf/vldb/TuzhilinC90 fatcat:lzs6vdcluvallaltmwwi5o5ncq

Spatio-temporal data warehouse design for human activity pattern analysis

L. Savary, T. Wan, K. Zeitouni
2004 Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004.  
This article addresses spatio-temporal data warehouse schema modelling in order to facilitate those queries and more generally, on-line analytical processing (OLAP) on spatio-temporal databases.  ...  Many applications refer to moving objects or phenomena and require spatio-temporal modelling and specific analysis.  ...  The specificity of such data is the spatial and temporal dimension.  ... 
doi:10.1109/dexa.2004.1333576 dblp:conf/dexaw/SavaryWZ04 fatcat:on4golr46ncrveorsnqohh42eu

The 2-3TR-tree, a trajectory-oriented index structure for fully evolving valid-time spatio-temporal datasets

Mahdi Abdelguerfi, Julie Givaudan, Kevin Shaw, Roy Ladner
2002 Proceedings of the tenth ACM international symposium on Advances in geographic information systems - GIS '02  
Then, a new spatio-temporal access method, the 2-3TR-tree, has been designed to process specific datasets and fulfill specific query requirements that no other existing spatio-temporal index could handle  ...  More precisely, the focus is on index structures that can capture the time varying nature of moving objects, namely spatio-temporal structures.  ...  This involves queries of the form "Find all objects that have lied within a specific area (or at a specific point), during a specific time interval (or at a specific timestamp)".  ... 
doi:10.1145/585147.585155 dblp:conf/gis/AbdelguerfiGSL02 fatcat:safhjx5grvfy7meplsvcrefkoi

The 2-3TR-tree, a trajectory-oriented index structure for fully evolving valid-time spatio-temporal datasets

Mahdi Abdelguerfi, Julie Givaudan, Kevin Shaw, Roy Ladner
2002 Proceedings of the tenth ACM international symposium on Advances in geographic information systems - GIS '02  
Then, a new spatio-temporal access method, the 2-3TR-tree, has been designed to process specific datasets and fulfill specific query requirements that no other existing spatio-temporal index could handle  ...  More precisely, the focus is on index structures that can capture the time varying nature of moving objects, namely spatio-temporal structures.  ...  This involves queries of the form "Find all objects that have lied within a specific area (or at a specific point), during a specific time interval (or at a specific timestamp)".  ... 
doi:10.1145/585154.585155 fatcat:u2jlv7b5rjbrbeq3bt5g6oh5k4

Deep Convolution for Irregularly Sampled Temporal Point Clouds [article]

Erich Merrill, Stefan Lee, Li Fuxin, Thomas G. Dietterich, Alan Fern
2021 arXiv   pre-print
In particular, the model can flexibly answer prediction queries about arbitrary space-time points for different entities regardless of the distribution of the training or test-time data.  ...  We consider the problem of modeling the dynamics of continuous spatial-temporal processes represented by irregular samples through both space and time.  ...  processes and calculate predictions for arbitrary domain-specific queries.  ... 
arXiv:2105.00137v1 fatcat:cwnddi3dnvctlfhqr4k2htba3q

Literature review of spatio-temporal database models

NIKOS PELEKIS, BABIS THEODOULIDIS, IOANNIS KOPANAKIS, YANNIS THEODORIDIS
2004 Knowledge engineering review (Print)  
This also concerns whether a model keeps track of the history of the real world objects, in terms of storing the lifespan of a discrete phenomenon or the temporal differences for a continuous one.  ...  The valid time (or real-world time) describes the time that an event actually happened in the real world.  ...  Queries about time, temporal properties, and temporal relationships: These queries can be simple temporal queries (e.g. what is the state of a spatial feature at time t?)  ... 
doi:10.1017/s026988890400013x fatcat:hookttdow5fijctnpfobv3fdxa

Abstract and discrete modeling of spatio-temporal data types

Martin Erwig, Ralf Hartmut Güting, Markus Schneider, Michalis Vazirgiannis
1998 Proceedings of the sixth ACM international symposium on Advances in geographic information systems - GIS '98  
Spatio-temporal databases deal with geometries changing over time. In general, geometries cannot only change in discrete steps, but continuously, and we are talking about moving objects.  ...  We expect these spatio-temporal data types to play a similarly fundamental role for spatio-temporal databases as spatial data types have played for spatial databases.  ...  Acknowledgments We are grateful to our partners in the CHOROCHRONOS project for asking many of the questions addressed in this paper.  ... 
doi:10.1145/288692.288716 dblp:conf/gis/ErwigGSV98 fatcat:62b53oyejrd3tmysvely2ez34m

Chapter 4: Spatio-temporal Models and Languages: An Approach Based on Data Types [chapter]

Ralf Hartmut Güting, Michael H. Böhlen, Martin Erwig, Christian S. Jensen, Nikos Lorentzos, Enrico Nardelli, Markus Schneider, Jose R. R. Viqueira
2003 Lecture Notes in Computer Science  
For each dimension of each table in the query, it must be stated how the dimension is used in the query. Specifically, each dimensions that should be evaluated with reducible semantics is identified.  ...  Spatio-temporal predicates lay the foundation for further research in spatio-temporal query languages.  ... 
doi:10.1007/978-3-540-45081-8_4 fatcat:elawdiqw3zhsxa5qiljal33zzy

Managing uncertain spatio-temporal data

Thomas Bernecker, Tobias Emrich, Hans-Peter Kriegel, Andreas Zuefle, Lei Chen, Xiang Lian, Nikos Mamoulis
2011 Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data - QUeST '11  
Many spatial query problems defined on uncertain data are computationally expensive, in particular, if in addition to spatial attributes, a time component is added.  ...  In addition, we give examples of interesting spatiotemporal queries on uncertain data.  ...  Discrete Markov Chain Model In the (first-order) Markov chain model, a discrete temporal and spatial domain is assumed.  ... 
doi:10.1145/2064969.2064972 dblp:conf/gis/BerneckerEKZ0LM11 fatcat:4onurqwx6ff2vkpjryjwjobgna

Predictive Nearest Neighbor Queries over Uncertain Spatial-Temporal Data [chapter]

Jinghua Zhu, Xue Wang, Yingshu Li
2014 Lecture Notes in Computer Science  
In-between these discrete time instants, the positions of the monitored moving objects are uncertain.  ...  In this paper, we exploit the filtering and refining framework to solve the predictive nearest neighbor queries over uncertain spatial-temporal data.  ...  At some certain time, one moving object can only be in one grid and there may be multiple moving objects in the same grid. Furthermore, one moving object could stay in a specific grid for a while.  ... 
doi:10.1007/978-3-319-07782-6_39 fatcat:fcj7lexycfbezb3qp6zfr36yqa

Temporal modules: An approach toward federated temporal databases

X. Sean Wang, Sushil Jajodia, V.S. Subrahmanian
1995 Information Sciences  
In a federated database environment, different constituents  ...  Specifically, each temporal module is extended to provide several 'windowsn to its information, each in terms of a dHerent time unit.  ...  We In this section, the Tin-calculus is extended to form queries on federated temporal databases.  ... 
doi:10.1016/0020-0255(94)00062-g fatcat:7z2hji5jubbrnnrqzb3bzl3cy4

A dynamic query interface for finding patterns in time series data

Harry Hochheiser, Ben Shneiderman
2002 CHI '02 extended abstracts on Human factors in computer systems - CHI '02  
metaphor for the specification of queries over time-series datasets.  ...  Widespread interest in discovering features and trends in time-series has generated a need for tools that support interactive exploration.This paper introduces timeboxes: a powerful graphical, directmanipulation  ...  We assume that the temporal data is divided into discrete time points of granularity determined by each data set.  ... 
doi:10.1145/506444.506460 fatcat:z2qytwsk55dsvcpeubykkvndtq

Torpedo: topic periodicity discovery from text data

Jingjing Wang, Hongbo Deng, Jiawei Han, Barbara D. Broome, Timothy P. Hanratty, David L. Hall, James Llinas
2015 Next-Generation Analyst III  
We first transform text data into topic-specific time series by a time dependent topic modeling module, where each of the time series characterizes the temporal behavior of a topic.  ...  Some previous preliminary studies in this direction prespecify a periodic temporal template for each topic.  ...  Periodicity Discovery Module The per-topic time distributions {ψ k } represent the temporal behaviors of the topics. Each ψ k is a discrete time signal.  ... 
doi:10.1117/12.2180097 fatcat:4rdht4hjlbee5j22c2rwhrjica
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