Now showing items 1-10 of 132
Mineração de padrões sequenciais e geração de regras de associação envolvendo temporalidade
(Universidade Federal de São CarlosUFSCarPrograma de Pós-graduação em Ciência da ComputaçãoCâmpus São Carlos, 2015-05-07)
Data mining aims at extracting useful information from a Database (DB). The mining process enables, also, to analyze the data (e.g. correlations, predictions, chronological relationships, etc.). The work described in ...
Algoritmo para a extração incremental de sequências relevantes com janelamento e pós-processamento aplicado a dados hidrográficos
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-graduação em Ciência da Computação, 2013-06-07)
The mining of sequential patterns in data from environmental sensors is a challenging task: the data may show noise and may also contain sparse patterns that are difficult to detect. The knowledge extracted from environmental ...
Stock closing price forecasting using ensembles of constructive neural networks
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 ...
Detecting Salient Events in Large Corpora by a Combination of NLP and Data Mining Techniques
(Revista Computación y Sistemas; Vol. 17 No.2, 2013-06-07)
Abstract. In this paper, we present a framework and a system that extracts “salient” events relevant to a query from a large collection of documents, and which also enables events to be placed along a timeline. Each event ...
Spatio-temporal data mining in palaeogeographic data with a density-based clustering algorithm
(Pontifícia Universidade Católica do Rio Grande do SulPorto Alegre, 2014)
O uso da mineração de dados e do processo de descoberta de conhecimento em banco de dados (Knowledge Discovery in Databases (KDD)) vem crescendo em sua importância conforme cresce o volume de dados armazenados em grandes ...
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? ...
Discovering And Labelling Of Temporal Granularity Patterns In Electric Power Demand With A Brazilian Case Study
(Sociedade Brasileira de Pesquisa Operacional, 2016)
Mineração de regras de associação espaço-temporais temáticas aplicada a imagens de explosões solares
(Universidade Federal de São CarlosUFSCarPrograma de Pós-graduação em Ciência da ComputaçãoCâmpus São Carlos, 2018-09-14)
Introduction. Space weather analysis is a complex task that involves spatiotemporal data from satellite images added to data from daily bulletins. These data are characterized as time series of georeferenced images and ...
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 ...