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Estudo da evasão de alunos de graduação utilizando Educational Data Mining
(Universidade Federal do PampaUNIPAMPABrasilCampus Alegrete, 2019)
A New Time Series Mining Approach Applied to Multitemporal Remote Sensing Imagery
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2013)
Spatial analysis and GIS in the study of COVID-19. A review
This study entailed a review of 63 scientific articles on geospatial and spatial-statistical analysis of the geographical dimension of the 2019 coronavirus disease (COVID-19) pandemic. The diversity of themes identified ...
Gaining historical and international relations insights from social media: spatio-temporal real-world news analysis using Twitter
(2017)
Abstract
The immense growth of the social Web, which has made a large amount of user data easily and publicly available, has opened a whole new spectrum for research in social behavioral sciences. However, ...
Análisis exploratorio de comportamientos de ciclistas voluntarios mediante minería de patrones espacio-temporales en Cuenca, Ecuador.
(2018)
ata mining techniques combined with space-time cubes empower the analysis of multidimensional data. A study area in which these advanced analysis techniques can be applied pre-eminently is urban mobility, where ...
Dramatic decrease of flood frequency in the Mekong Delta due to river-bed mining and dyke construction
(Elsevier B.V., 2020-06-25)
Here we present a proof of concept evaluation of the impacts of riverbed-mining on river-wetland connectivity by analyzing the temporal trends of the flood frequencies in the Vietnamese Mekong Delta (VMD), while accounting ...
ANTHROPOGEOMORPHOLOGY - MAN AS A GEOMORPHOLOGIC AGENT: THEORETICAL BASIS AND ANALYSIS OF CHRYSOTILE EXTRACTION IN MINACU, STATE OF GOIAS, BRAZIL
(Univ Federal Goias, Dept Geografia, 2015-01-01)
The present work show a spatial and temporal analysis from the chrysotile asbestos and the relation with a development of anthropogenic forms in the city of Minacu, State of Goias. The analyses were done from the correlation ...
Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series
(IEEE Computer Society, 2015-11)
Discovering gene regulatory networks from data is one of the most studied topics in recent years. Neural networks can be successfully used to infer an underlying gene network by modeling expression profiles as times series. ...