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Analysis of Spatiotemporal Risks of Environmental Driving Factors of Respiratory Diseases. [PDF]
GeohealthYang X, Wang J, Zhang G, Yu Z.
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NeuroStream: spectral-spatio-temporal deep learning for visual stimulus classification from EEG. [PDF]
Sci RepAbdelmagid M +3 more
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Journal of Intelligent Information Systems, 2006
Both the temporal and spatial dimensions add substantial complexity to data mining tasks. First of all, the spatial relations, both metric (such as distance) and non-metric (such as topology, direction, shape, etc.) and the temporal relations (such as before and after) are information bearing and therefore need to be considered in the data mining ...
Gennady L. Andrienko +3 more
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Both the temporal and spatial dimensions add substantial complexity to data mining tasks. First of all, the spatial relations, both metric (such as distance) and non-metric (such as topology, direction, shape, etc.) and the temporal relations (such as before and after) are information bearing and therefore need to be considered in the data mining ...
Gennady L. Andrienko +3 more
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Spatio-temporal data handling with constraints
Proceedings of the 6th ACM international symposium on Advances in geographic information systems, 1998Summary: Most spatial information systems are limited to a fixed dimension (generally 2) which is not extensible. On the other hand, the emerging paradigm of constraint databases allows the representation of data of arbitrary dimension, together with abstract query languages.
Grumbach, Stéphane +2 more
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What Is Spatio-Temporal Data Warehousing? [PDF]
, 2009 In the last years, extending OLAP (On-Line Analytical Processing) systems with spatial and temporal features has attracted the attention of the GIS (Geographic Information Systems) and database communities. However, there is no a commonly agreed definition of what is a spatio-temporal data warehouse and what functionality such a data warehouse should ...
Vaisman, Alejandro Ariel +1 more
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Compression of Spatio-temporal Data
2016 17th IEEE International Conference on Mobile Data Management (MDM), 2016This paper presents an overview of the topics discussed in the advanced seminar on compressing spatio-temporal data. After a brief introduction and motivation, the first focused part of the seminar will address the fundamental techniques for spatio-temporal data compression and their impact on the error in the answers to different queries. Subsequently,
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A Spatio-Temporal Linked Data Representation for Modeling Spatio-Temporal Dialect Data
2017Collections of linguistic and dialect data often lack a semantic description and the ability to establish relations to external datasets, from e.g. demography, socio-economics, or geography. Based on existing projects—the Database of Bavarian Dialects in Austria and exploreAT!—this paper elaborates on a spatio-temporal Linked Data model for ...
Johannes Scholz +2 more
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Linkage of Spatio-Temporal Data and Trajectories
2019 IEEE International Smart Cities Conference (ISC2), 2019The abundance of datasets containing spatio-temporal information calls for novel record linkage methods that can effectively operate on such data to discover records that refer to the same real-world entity. In this paper, we propose the first approach for spatio-temporal record linkage that leverages the power of LSH to provide accuracy guarantees ...
Dimitrios Karapiperis +2 more
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