Elaine P. M. de Sousa

Orcid: 0000-0002-8921-5483

According to our database1, Elaine P. M. de Sousa authored at least 32 papers between 2005 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2022
Predição de Resiliência Econômica a partir de Métodos Supervisionados baseados em Grafos Dinâmicos.
Proceedings of the 37th Brazilian Symposium on Databases, 2022

2020
SIRA - An efficient method for retrieving stereo images from anaglyphs.
Signal Process. Image Commun., 2020

Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach.
J. Inf. Data Manag., 2020

Mining Temporal Exception Rules from Multivariate Time Series Using a new Support Measure.
J. Inf. Data Manag., 2020

Quantifying With Only Positive Training Data.
CoRR, 2020

O Uso de Anotação Semântica e Ontologias na Busca de Similaridade entre Entrevistas Não-Estruturadas em Banco de Dados (The Use of Semantic Annotations and Ontologies in the Search for Similarity Among Unstructured Interviews in a Database).
Proceedings of the XIII Seminar on Ontology Research in Brazil and IV Doctoral and Masters Consortium on Ontologies (ONTOBRAS 2020), 2020

2018
Classification Analysis of NDVI Time Series in Metric Spaces for Sugarcane Identification.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

2017
Agricultural monitoring using clustering techniques on satellite image time series of low spatial resolution.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

Behavioral Characterization of Criminality Spread in Cities.
Proceedings of the International Conference on Computational Science, 2017

2016
Clustering Multivariate Data Streams by Correlating Attributes using Fractal Dimension.
J. Inf. Data Manag., 2016

Complex Network Tools to Understand the Behavior of Criminality in Urban Areas.
CoRR, 2016

On the Support of a Similarity-enabled Relational Database Management System in Civilian Crisis Situations.
Proceedings of the ICEIS 2016, 2016

Improving Multivariate Data Streams Clustering.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
Clustering Multivariate Climate Data Streamsusing Fractal Dimension.
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015

2014
Land use temporal analysis through clustering techniques on satellite image time series.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

The SITSMining Framework - A Data Mining Approach for Satellite Image Time Series.
Proceedings of the ICEIS 2014, 2014

2013
The Images and Data Bases Group at University of São Paulo.
J. Inf. Data Manag., 2013

Finding Spatio-Temporal Patterns in Multidimensional Data Streams.
J. Inf. Data Manag., 2013

Analysis of large scale climate data: how well climate change models and data from real sensor networks agree?
Proceedings of the 22nd International World Wide Web Conference, 2013

2012
To be or not to be real: fractal analysis of data streams from a regional climate change model.
Proceedings of the ACM Symposium on Applied Computing, 2012

2011
Fractal-based Analysis to Identify Trend Changes in Multiple Climate Time Series.
J. Inf. Data Manag., 2011

2010
An Adaptive Multi-level Hashing Structure for Fast Approximate Similarity Search.
J. Inf. Data Manag., 2010

Análise baseada em Fractais para Identificação de Mudanças de Tendências em Múltiplas Séries Climáticas.
Proceedings of the XXV Simpósio Brasileiro de Banco de Dados, 2010

2008
Software Architecture Relevance in Open Source Software Evolution: A Case Study.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

2007
A fast and effective method to find correlations among attributes in databases.
Data Min. Knowl. Discov., 2007

Biased box sampling - a density-biased sampling for clustering.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

A Density-Biased Sampling Technique to Improve Cluster Representativeness.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

2006
Correlation identification using the fractal theory.
PhD thesis, 2006

Efficient Discovery of Unusual Patterns in Time Series .
New Gener. Comput., 2006

Evaluating the intrinsic dimension of evolving data streams.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Effective shape-based retrieval and classification of mammograms.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

2005
A Low-cost Approach for Effective Shape-based Retrieval and Classification of Medical Images.
Proceedings of the Seventh IEEE International Symposium on Multimedia (ISM 2005), 2005


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