Buscar
Mostrando ítems 1-10 de 21
Stock closing price forecasting using ensembles of constructive neural networks
(2014-01-01)
Efficient automatic systems which continuously learn over long periods of time, and manage to evolve its knowledge, by discarding obsolete parts of it and acquiring new ones to reflect recent data, are difficult to be ...
RSC: mining and modeling temporal activity in social media
(Association for Computing Machinery - ACMSydney, 2015-08)
Can we identify patterns of temporal activities caused by human communications in social media? Is it possible to model these patterns and tell if a user is a human or a bot based only on the timing of their postings? ...
A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction
(Institute of Electrical and Electronics Engineers - IEEEMiami, 2015-12)
In the last two decades, with the rise of the Data Mining process, there is an increasing interest in the adaptation of Machine Learning methods to support Time Series non-parametric modeling and prediction. The non-parametric ...
Land use temporal analysis through clustering techniques on satellite image time series
(IEEE Geoscience and Remote Sensing Society - GRSSCanadian Remote Sensing Society / Société canadienne de télédétection - CRSS-SCTQuébec City, 2014-07)
Satellite images time series have been used to study land surface, such as identification of forest, water, urban areas, as well as for meteorological applications. However, for knowledge discovery in large remote sensing ...
An Approach Based On Satellite Image Time Series Mining To Identify Region Susceptible To Desertification
(Institute of Electrical and Electronics Engineers Inc., 2014)
Land Use Temporal Analysis Through Clustering Techniques On Satellite Image Time Series
(Institute of Electrical and Electronics Engineers Inc., 2014)