temporal data
The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture
... time data mining, in recent years the concern of researchers to discover new hardware architectures that can manage and process large volumes of data has increased ...for temporal data mining ...
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Modelling spatio-temporal data with multiple seasonalities: The NO2 Portuguese case
... and temporal dy- namics of spatio-temporal data sets, characterized by high reso- lution in the temporal dimension which are becoming the norm rather than the exception in many application ...
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Propositional and Relational Approaches to Spatio-Temporal Data Analysis
... spatio-temporal data sets (possibly with various levels of spatial granularity) by performing database ...meteorological data sets outperforming SPADE (Zaki, 2001) on space ...
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GENERALIZED LINEAR MIXED MODELS WITH SPATIAL RANDOM EFFECTS FOR SPATIO-TEMPORAL DATA: AN APPLICATION TO DENGUE FEVER MAPPING
... Spatio-temporal data are data collected across both time and space. Thus the data analysis has to take into account the spatial correlation across the areas and temporal correlation ...
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Spatio-temporal data mining in palaeogeographic data with a density-based clustering algorithm
... spatial data mining is based on the same strategy of non-spatial data mining, being the characteristical aspects of a set of objects identified and classified according to these sets of objects [NG & ...
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Asymptotic models and inference for extremes of spatio-temporal data
... In our model, we used simple, separable space-time dependence structures, although more complicated structures can be used. The important advantage of the use of these simple structures is that the models can be run by ...
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SPATIO-TEMPORAL DATA MODELING IN RESPONSE TO DEFORESTATION MONITORING
... cover data collection from over the world (Fuller, ...the data became ...sensed data have been constituted internationally to monitor forest cover (DeFries et ...sensed data which have multi ...
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Spatially shifting temporal points: estimating pooled within-time series variograms for scarce hydrological data
... time steps, over each spatial lag within a pooled time series. However, semivariances computed by a few paired comparisons for individual time steps are erratic and hence they may hamper precision of PTS variogram ...
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A Logical Temporal Relational Data Model
... Temporal data model provides the mechanism to capture the time varying nature of entities and to design temporal query language to retrieve, manipulate and process the temporal ...domain. ...
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Novel Approach to Estimate Missing Data Using Spatio-Temporal Estimation Method
... Abstract —With advancement of wireless technology and the processing power in mobile devices, every handheld device supports numerous video streaming applications. Generally, user datagram protocol (UDP) is used in video ...
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Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity
... bring data closer to edge consumers but, as a novelty, it also incorporates in the system other relevant functional ...user data demand, the energy consumption, and the node ...replicate data is ...
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TEMPORAL INDICES DATA FOR SPECIFIC CROP DISCRIMINATION USING FUZZY BASED NOISE CLASSIFIER
... series data spanning over one growing season. The temporal data is pre-processed with respect to geo-registration and five spectral indices SR (Simple Ratio), NDVI (Normalized Difference Vegetation ...
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Issues in Spatio-temporal Database Systems: Data Models, Languages and Moving Objects
... of temporal and spatial theories, as shown in this article and in other studies, is not sufficient to embrace all the new issues raised by the integration of spatio-temporal information in database ...
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STB-INDEX: UM ÍNDICE BASEADO EM BITMAP PARA DATA WAREHOUSE ESPAÇO-TEMPORAL
... the Data Warehouse (DW), which allows storing data so it is possible to produce useful and reliable information to assist in strategic ...Spatial Data Warehouse (SDW), that allows geometry storage ...
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A strategy for temporal visual analysis of labor accident data
... a temporal data is the hierarchy and a variety of approaches incorporate this hierarchical information in a combination of different ...Visualizing temporal data organized in hierarchies is an ...
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A COMPARISON STUDY OF DIFFERENT KERNEL FUNCTIONS FOR SVM-BASED CLASSIFICATION OF MULTI-TEMPORAL POLARIMETRY SAR DATA
... of data times with RBF kernel to examine the effects of several time uses in crop classification (Table ...training data was again 0.1%. Multi-temporal data is useful to employ the ...
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Conceção de um data warehouse espácio-temporal para análise de trajetórias humanas
... Spatio-Temporal Data Warehouse of human trajecto- ries, as well processes required for data processing and enrichment with semantic infor- mation, such as extraction of stay points and an algorithm ...
115
The value of OpenStreetMap Historical Contributions as a Source of Sampling Data for Multi‑temporal Land Use/Cover Maps
... OSM data are not evenly distributed across all regions, with urban areas being likelier to have promising contributions (in both quantity and quality) than rural ...OSM data history to generate LULC ...
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Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data.
... the temporal resolution, which we measure over a scale from 1 minute to 24 hours thus reflecting the diurnal cycle of human ...the temporal scale of about 15 minutes in all three cities and this implies ...
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Towards a Computable Data Corpus of Temporal Correlations between Drug Administration and Lab Value Changes.
... the data corpus in ...fever data points, but these types of episodes are also likely to be out of scope of computa- tional processing and ...raise data protection ...
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