Elaine P. M. de Sousa

According to our database1, Elaine P. M. de Sousa authored at least 25 papers between 2005 and 2018.

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



In proceedings 
PhD thesis 


On csauthors.net:


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

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

Clustering Multivariate Data Streams by Correlating Attributes using Fractal Dimension.
JIDM, 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

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

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

The Images and Data Bases Group at University of São Paulo.
JIDM, 2013

Finding Spatio-Temporal Patterns in Multidimensional Data Streams.
JIDM, 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

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

Fractal-based Analysis to Identify Trend Changes in Multiple Climate Time Series.
JIDM, 2011

An Adaptive Multi-level Hashing Structure for Fast Approximate Similarity Search.
JIDM, 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

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

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

Correlation identification using the fractal theory.
PhD thesis, 2006

Efficient Discovery of Unusual Patterns in Time Series .
New Generation 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

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