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Browsing ISCAP - ATC de Sistemas de Informação by Author "Azevedo, Ana"
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- An architecture for an effective usage of data mining in business intelligence systemsPublication . Azevedo, Ana; Santos, Manuel FilipeBusiness Intelligence (BI) is one emergent area of the Decision Support Systems (DSS) discipline. Over the last years, the evolution in this area has been considerable. Similarly, in the last years, there has been a huge growth and consolidation of the Data Mining (DM) field. DM is being used with success in BI systems, but a truly DM integration with BI is lacking. Therefore, a lack of an effective usage of DM in BI can be found in some BI systems. An architecture that pretends to conduct to an effective usage of DM in BI is presented.
- Cooperatives and the use of artificial intelligence: a critical viewPublication . Ramos, Maria Elisabete; Azevedo, Ana; Meira, Deolinda; Malta, Mariana CuradoDigital Transformation (DT) has become an important issue for organisations. It is proven that DT fuels Digital Innovation in organisations. It is well-known that technologies and practices such as distributed ledger technologies, open source, analytics, big data, and artificial intelligence (AI) enhance DT. Among those technologies, AI provides tools to support decision-making and automatically decide. Cooperatives are organisations with a mutualistic scope and are characterised by having participatory, cooperative governance due to the principle of democratic control by the members. In a context where DT is here to stay, where the dematerialisation of processes can bring significant advantages to any organisation, this article presents a critical reflection on the dangers of using AI technologies in cooperatives. We base this reflection on the Portuguese cooperative code. We emphasise that this code is not very different from the ones of other countries worldwide as they are all based on the Statement of Cooperative Identity defined by the International Cooperative Alliance. We understand that we cannot stop the entry of AI technologies into the cooperatives. Therefore, we present a framework for using AI technologies in cooperatives to avoid damaging the principles and values of this type of organisations.
- Data mining languages for business intelligencePublication . Azevedo, AnaDesde que Lunh usou, pela primeira vez, em 1958, o termo Business Intelligence (BI), grandes transformações se operaram na área dos sistemas e t ecnologias de informação e, em especial, na área dos sistemas de apoio à decisão. Atualmente , os sistemas de BI são amplamente utilizados nas organizações e a sua importância est ratégica é largamente reconhecida. Estes sistemas apresentam-se como essenciais para um comp leto conhecimento do negócio e como uma ferramenta insubstituível no apoio à tomada de decisão. A divulgação das ferramentas de Data Mining (DM) tem vindo a aumentar na área do BI, assim como o reconhecimento da relevância da sua utilização nos sistemas de BI emp resariais. As ferramentas de BI são ferramentas amigáveis, ite rativas e interativas, permitindo aos utilizadores finais um acesso fácil. Desta forma, é possível ao utilizador final manipular diretamente os dados, tendo assim a possibilidade d e extrair todo o valor para o negócio neles contido. Um dos problemas apontados na utilização d o DM na área do BI prende-se com o facto de os modelos de DM serem, em geral, demasiado comp lexos para que os utilizadores de negócio os possam manipular diretamente, contrariam ente ao que ocorre com as outras ferramentas de BI. Neste contexto, foi identificado como problema de i nvestigação a não existência de ferramentas de BI que possibilitem ao utilizador de negócio a m anipulação direta dos modelos de DM e, consequentemente, não possibilitando extrair todo o valor potencial neles contidos. Este aspeto reveste-se de particular importância num universo e mpresarial no qual a concorrência é cada vez mais forte e no qual o conhecimento do negócio, das variáveis envolvidas e dos potenciais cenários representam um papel fundamental para as o rganizações poderem concorrer num mercado extremamente exigente. Considerando que os sistemas de BI assentam, maiori tariamente, sobre sistemas operacionais que utilizam sobretudo o modelo relacional de bases de dados, a investigação efetuada inspirou- se nos conceitos ligados ao modelo relacional de ba ses de dados e nas linguagens a ele associadas em particular as linguagens Query-By-Exa mple (QBE). Estas linguagens têm uma forte componente de interactividade, são amigáveis e permitem iteratividade e são amplamente utilizadas em ambiente de negócio pelos utilizadore s finais. Têm vindo a ser desenvolvidos esforços no sentido d o desenvolvimento de padrões e normas na área do DM, sendo dada grande relevância ao tema da s bases de dados indutivas. No contexto Data mining languages for business intelligence iv das bases de dados indutivas é dada grande relevânc ia às chamadas linguagens de DM. Estes conceitos serviram, igualmente, de inspiração a est a investigação. Apesar da importância destas linguagens de DM, elas não estão orientadas para os utilizadores finais em ambientes de negócio. Ligando os conceitos relacionados com as linguagens QBE e com as linguagens de DM, foi concebida e implementada uma linguagem de DM para B I, à qual foi dado o nome QMBE. Esta nova linguagem é por natureza amigável, iterativa e interativa, isto é, apresenta as mesmas características que as ferramentas de BI habituais permitindo aos utilizadores finais a manipulação direta dos modelos de DM e, deste modo, aceder a todo o valor potencial desses modelos com todos as vantagens que daí poderão advi r. Utilizando um protótipo de um sistema de BI, a linguagem foi implementada, testada e aval iada conceptualmente. Verificou-se que a linguagem possui as propriedades desejadas, a saber , é amigável, iterativa, interativa. Finalmente, a linguagem foi avaliada por utilizador es finais que já tinham experiência anterior na utilização de DM em contexto de BI. Verificou-se qu e na ótica destes utilizadores a utilização da linguagem apresenta vantagens em relação à utilizaç ão tradicional de DM no âmbito do BI.
- Higher education institutions and learning management systems: adoption and standardizationPublication . Babo, Rosalina; Azevedo, AnaE-learning plays a significant role in education, and its importance increases day by day. Learning environments can take a myriad of distinct forms. Learning management systems (LMS) have emerged as an important platform to support effective learning environments. Learning management systems are used throughout higher education institutions (HEI) and the need to know and understand its adoption and usage arises. However, there is a lack of information about how LMS are being used, which are the most adopted, whether there is a country adoption standard and which countries use more LMS. Higher Education Institutions and Learning Management Systems: Adoption and Standardization provides insights concerning the use of learning management systems in higher education institutions and aims to increase understanding of LMS adoption and usage, providing relevant academic work, empirical research findings and an overview of LMS usage in higher education institutions all over the world.
- Introdução ao estudo da paralelização de algoritmos de planeamentooperacional com metodos genéticosPublication . Azevedo, AnaOs Algoritmos são técnicas de optimização, baseadas na selecção natural, que se têm vindo a afirmar nos últimos anos. Existem já diversas aplicações a situações reais, com resultados bastante bons. Actualmente, com a popularização de pacotes de software para paralelização de aplicações, como o PVM, surge como natural a sua utilização na paralelização dos algoritmos genéticos. Existem vários modelos para a paralelização de algoritmos genéticos.
- KDD, SEMMA and CRISP-DM: a parallel overviewPublication . Azevedo, Ana; Santos, Manuel Filipe; Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do PortoIn the last years there has been a huge growth and consolidation of the Data Mining field. Some efforts are being done that seek the establishment of standards in the area. Included on these efforts there can be enumerated SEMMA and CRISP-DM. Both grow as industrial standards and define a set of sequential steps that pretends to guide the implementation of data mining applications. The question of the existence of substantial differences between them and the traditional KDD process arose. In this paper, is pretended to establish a parallel between these and the KDD process as well as an understanding of the similarities between them.
- Learning management systems usage on higher education institutionsPublication . Babo, Rosalina; Azevedo, Ana; Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do PortoLearning Management Systems (LMS) are used all over Higher Education Institutions (HEI) and the need to know and understand its adoption and usage arises. However, there is a lack of information about how LMSs are being used, which are the most adopted, whether there is a country adoption standard and which countries use more LMSs. A research team is developing a project that tries to fill this lack of information and provide the needed answers. With this purpose, on a first phase, it a survey was taken place. The results of this survey are presented in this paper. Another purpose of this paper is to disseminate the ongoing project.
- Planning and implementing a new assessment strategy using an e-learning platformPublication . Babo, Rosalina; Azevedo, AnaOne of the most difficult issues of e-Learning is the students’ assessment. Being this an outstanding task regarding theoretical topics, it becomes even more challenging when the topics under evaluation are practical. ISCAP’s Information Systems Department is composed of about twenty teachers who have been for several years using an e-learning environment (at the moment Moodle 2.3) combined with traditional assessment. They are now planning and implementing a new e-learning assessment strategy. This effort was undertaken in order to evaluate a practical topic (the use of spreadsheets to solve management problems) common to shared courses of several undergraduate degree programs. The same team group is already experienced in the assessment of theoretical information systems topics using the b-learning platform. Therefore, this project works as an extension to previous experiences being the team aware of the additional difficulties due to the practical nature of the topics. This paper describes this project and presents two cycles of the action research methodology, used to conduct the research. The first cycle goal was to produce a database of questions. When it was implemented in order to be used with a pilot group of students, several problems were identified. Subsequently, the second cycle consisted in solving the identified problems preparing the database and all the players to a broader scope implementation. For each cycle, all the phases, its drawbacks and achievements are described. This paper suits all those who are or are planning to be in the process of shifting their assessment strategy from a traditional to one supported by an e-learning platform.
- Secretaria on-line from ISCAPPublication . Pereira, Rui Humberto; Azevedo, Ana; Castilho, OlimpioLike many other higher educat ion schools, ISCAP`s population has grown at a rate of almost 100% in the end of the twentieth century. Its administrative structures were reinforced, but it was not in the same proportion. Face to face with the inability to resolve the problem, the administration decided to implement a computer based system, available in the Internet. In a first stage, in 1997, the system was implemented as a services support. The next stage, in 1999, proposes to increase student services quality. A project that aims to bring student services available on the Internet begins to be developed.