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NoSQL como suporte à análise de dados não-normalizados e de grande volume

InforAbERTA 2014 - IV Jornadas de Informática

Simulating Price Interactions by Mining Multivariate Financial Time Series

Com o apoio RAADRI. ; This position paper proposes a framework based on a feature clustering method using Emergent Self-Organizing Maps over streaming data (Ubi-SOM) and Ramex-Forum – a sequence pattern mining model for financial time series modeling based on observed instantaneous and long term relations over market data. The proposed framework aims at producing realistic monte-carlo based simulations of an e...

Data science e big data

InforAbERTA 2014 - IV Jornadas de Informática

Estudo de soluções de comunicação síncrona

Trabalho finalizado em 2009 ; Relatório em que são avaliadas as diversas soluções de comunicação síncrona, no contexto da sua utilização na Universidade Aberta, com pólos em Lisboa, Porto e Coimbra e cerca de 14 Centros Locais de Aprendizagem (CLAs).

NoSQL no suporte à análise de grande volume de dados

Nos tempos atuais de sistemas de informação há muitos dados que são gerados a cada instante que se traduz em grandes volumes de informação. Interpretar esses dados pode dar às empresas vantagens competitivas face à concorrência. A área de Business Intelligence fornece às empresas mecanismos para analise desses dados. No entanto, os projetos de software que implementam estas soluções implicam uma grande maturida...

Open-source software in operations research in engineering teaching

ENEGI 2013: Atas do 2º Encontro Nacional de Engenharia e Gestão Industrial, Universidade de Aveiro, 17 e 18 de maio de 2013, Aveiro, Portugal. ; This contribution will focus on Computational Tools of Open-Source Software that are rather interesting in teaching Operations Research applied to engineering sciences, (Tavares et al 1996) specifically some educational experiences in the area of Forecasting; Simulati...

CLIQUE COMMUNITIES IN SOCIAL NETWORKS

There is a pressing need for new pattern recognition tools and statistical methods to quantify large graphs and predict the behaviour of network systems, due to the large amount of data which can be extracted from the web. In this work a graph mining metric, based on k-clique communities, is used, allowing a better understanding of the network structure. The proposed metric shows that for different graph famili...

Recensão crítica [da obra] Reinventing discovery: the new era of networked science

Clique communities in social networks

Given the large amount of data provided by the Web 2.0, there is a pressing need to obtain new metrics to better understand the network structure; how their communities are organized and the way they evolve over time. Complex network and graph mining metrics are essentially based on low complexity computational procedures like the diameter of the graph, clustering coefficient and the degree distribution of the ...

Logical Analysis of Inconsistent Data (LAID) for a paremiologic study

15th Portuguese Conference on Artificial Inteligence - EPIA 2011. Lisboa, Faculdade de Ciências da Universidade de Lisboa ; A paremiologic (study of proverbs) case is presented as a part of a wider project, based on data collected by thousands of interviews made to people from Azores, and involving a set of twenty-two thousand Portuguese proverbs, where we searched for the minimum information needed to identif...