Loading...
106 results
Search Results
Now showing 1 - 10 of 106
- Data mining process models: a roadmap for knowledge discoveryPublication . Mendes, Armando B.; Cavique, Luís; Santos, Jorge M. A.Extracting knowledge from data is the major objective of any data analysis process, including the ones developed in several sciences as statistics and quantitative methods, data base \ data warehouse and data mining. From the latter disciplines the data mining is the most ambitious because intends to analyse and extract knowledge from massive often badly structured data with many specific objectives. It is also used for relational data base data, network data, text data, log file data, and data in many other forms. In this way, is no surprise that a myriad of applications and methodologies have been and are being developed and applied for data analysis functions, where CRISP-DM (cross industry standard process for data mining) and SEMMA (sample, explore, modify, model, assessment) are two examples. The need for a roadmap is, therefore, highly recognised in the field and almost every software company has established their own process model.
- Seleção de atributos de dados inconsistentes em ambiente HDF5+Python na cloud INCDPublication . Apolónia, João; Cavique, LuísO tratamento de conjuntos de dados de grande dimensão é uma questão que é recorrente nos dias de hoje. Uma das abordagens possíveis passa por realizar uma seleção de atributos que permita diminuir, consideravelmente, a dimensão dos dados sem aumentar a inconsistência dos mesmos. A Análise Lógica de Dados Inconsistentes (LAID) é uma metodologia sistematizada, robusta, sendo fácil de interpretar e consegue lidar com dados inconsistentes. O paradigma, relativamente ao manuseamento de grandes volumes de dados, tem-se alterado. Antes, o tratamento dos dados era efetuado num único computador e o acesso era realizado depois do seu carregamento em memória. A tendência atual é aceder aos dados em disco, num ambiente cloud. Este trabalho pretende validar o novo paradigma, com recurso ao sistema de dados HDF5 e ao ambiente remoto disponibilizado pela. Pelo facto de o HDF5 ser o sistema adotado pela comunidade Python para lidar com dados de grande dimensão, esta linguagem foi escolhida para implementação do LAID.
- Bringing underused learning objects to the light: a multi-agent based approachPublication . Behr, André; Cscalho, José; Mendes, Armando B.; Guerra, Hélia; Cavique, Luís; Trigo, Paulo; Coelho, Helder; Vicari, RosaThe digital learning transformation brings the extension of the traditional libraries to online repositories. Learning object repositories are employed to deliver several functionalities related to the learning object’s lifecycle. However, these educational resources usually are not described effectively, lacking, for example, educational metadata and learning goals. Then, metadata incompleteness limits the quality of the services, such as search and recommendation, resulting in educational objects that do not have a proper role in teaching/learning environments. This work proposes to bring an active role to all educational resources, acting on the analysis generated from the usage statistics. To achieve this goal, we created a multi-agent architecture that complements the common repository’s functionalities to improve learning and teaching experiences. We intend to use this architecture on a repository focused on ocean literacy learning objects. This paper presents some steps toward this goal by enhancing, when needed, the repository to adapt itself.
- Data science e big dataPublication . Cavique, Luís
- A feature selection approach in the study of azorean proverbsPublication . Cavique, Luís; Mendes, Armando B.; Funk, Matthias; Santos, Jorge M. A.A paremiologic (study of proverbs) case is presented as part of a wider project based on data collected among the Azorean population. Given the considerable distance between the Azores islands, we present the hypothesis that there are significant differences in the proverbs from each island, thus permitting the identification of the native island of the interviewee, based on his or her knowledge of proverbs. In this chapter, a feature selection algorithm that combines Rough Sets and the Logical Analysis of Data (LAD) is presented. The algorithm named LAID (Logical Analysis of Inconsistent Data) deals with noisy data, and we believe that an important link was established between the two different schools with similar approaches. The algorithm was applied to a real world dataset based on data collected using thousands of interviews of Azoreans, involving an initial set of twenty-two thousand Portuguese proverbs.
- Regular sports services: dataset of demographic, frequency and service level agreementPublication . Pinheiro, Paulo; Cavique, LuísThis article describes a dataset of different services acquired by users during the period in which they are active in a sports facility as well as their behavior in terms of frequency of the sport facility itself and the type of classes they prefer to attend. Each observation in the dataset corresponds to one user, including the features of subscriptions and frequency. Data were collected between June 1st 2014 and October 31st 2019 from a database of an ERP solution operating in a sports facility in Lisbon, Portugal. From this database, it was possi- ble to perform operations of extraction, transformation and loading into the dataset. The dataset with real data can be useful for research in ar- eas such as customer retention, machine learning, marketing, actionable knowledge and others. Although we present real data from users of a sports facil- ity, in order to comply the GDPR legislation, the attributes that could identify the users were removed making the data anonymized.
- Editorial 4Publication . Cavique, LuísÉ com muita satisfação que apresentamos o mais recente número da Revista de Ciências da Computação. As primeiras palavras de agradecimento vão para os autores e para os membros do conselho editorial encarregues das revisões. Na sequência de várias sugestões, na chamada de trabalhos do número quarto, do ano 2009, foram pedidos artigos especialmente dedicados às Tecnologias de Apoio ao EaD. Infelizmente, esta exigente especialização provocou atrasos na saída do presente número. Neste quarto número, oferece-se ao leitor uma diversidade temática que se concentra nas áreas da Multimédia, Bases de Dados Documentais, Videoconferência e Sistemas Digitais. i) Neste número o tema Multimédia é coberto por dois artigos: as emergentes áreas dos Jogos e Simulação no apoio ao EaD e a caracterização de projectos na Web. ii) São apresentados duas aplicações: uma Base de Dados Documental para apoio de historiadores das Inquirições de 1258 e a descrição da Rede de Videoconferência da RCTS – Rede Ciência, Tecnologia e Sociedade, da Fundação para a Computação Científica Nacional, FCCN. iii) Na área dos Sistemas Digitais são apresentados dois artigos: o primeiro sobre uma metodologia de Negócios Digitais para pequenas e médias empresas e um segundo artigo que reflecte sobre os Bens e Serviços Digitais. Entretanto, convidam-se os autores a submeter trabalhos originais em língua portuguesa ou inglesa para o nº 5 da Revista das Ciências da Computação da Universidade Aberta até meados de Outubro de 2010.
- Ramex-Forum: a tool for displaying and analysing complex sequential patterns of financial productsPublication . Tiple, Pedro; Cavique, Luís; Marques, Nuno C.Financial data provides a valuable up‐to‐date knowledge of the world economy. However, it is presented in extremely large data volumes, in diverse formats, and is constantly being updated at a high speed. The Ramex‐Forum algorithm is oriented to guide financial experts in finding new and relevant information.We present a sensitivity analysis and newvisualizations using an improved version of the Ramex‐Forum algorithm. The proposed algorithm is applied to two case studies – the petroleum production chain and the European financial institutions risk analysis. Different combinations of parameters and new ways to visualize data are used. Results highlight the importance of Ramex‐Forum for analysing relevant relationships in price variations in financial markets.
- Clique communities in social networksPublication . Cavique, Luís; Mendes, Armando B.; Santos, Jorge M. A.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 nodes. The connected communities in the social networks have, essentially, been studied in two contexts: global metrics like the clustering coefficient and the node groups, such as the graph partitions and clique communities.
- Recensão crítica: O Livro do Porquê, a nova ciência da causa e efeitoPublication . Cavique, LuísA mais recente obra de Judea Pearl e Dana Mackenzie, 'The Book of Why', no seu subtítulo promete desenvolver uma nova ciência para a causa e efeito. Judea Pearl é o autor das conhecidas redes bayesianas, ferramenta fundamental em Inteligência Artificial (IA), e galardoado com a maior distinção em ciências da computação, o Prémio Turing da 'Association for Computing Machinery' (ACM).