ESTG - Comunicações em conferências e congressos internacionais
Permanent URI for this collection
Browse
Browsing ESTG - Comunicações em conferências e congressos internacionais by Field of Science and Technology (FOS) "Ciências Sociais::Economia e Gestão"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- Database marketing process supported by ontologies: System architecture proposalPublication . Pinto, Filipe Mota; Marques, Alzira; Santos, Manuel FilipeThis work proposes an ontology based system architecture which works as developer guide to a database marketing practitioner. Actually marketing departments handles daily with a great volume of data which are normally task or marketing activity dependent. This sometimes requires specific knowledge background and framework. This article aims to introduce an unexplored research at Database Marketing: the ontological approach to the Database Marketing process. Here we propose a generic framework supported by ontologies and knowledge extraction from databases techniques. Therefore this paper has two purposes: to integrate ontological approach in Database Marketing and to create domain ontology with a knowledge base that will enhance the entire process at both levels: marketing and knowledge extraction techniques. Our work is based in the Action Research methodology. At the end of this research we present some experiments in order to illustrate how knowledge base works and how can it be useful to user.
- Matching knowledge needs in the industry with the educational offer: A strategic tool for regional competitivenessPublication . Rodrigues, Susana; Matos, FlorindaThe purpose of this research was to understand and identify the industrial knowledge needs in the Leiria Region. This study was developed to help the Polytechnic Institute of Leiria to strategically define their knowledge offer to the industrial market needs. The aim was to identify: a) the qualifications required by individuals from top to bottom in the industry; b) the areas of knowledge required and c) the knowledge required by each professional category. Three hundred and forty-nine questionnaires were collected within the building construction, wood and furniture, moulding, and plastic industries. The results showed that the moulding industry identified the highest need for knowledge. With the exception of Plant managers, Plant workers and Apprentices in the wood and furniture industry that chose technical courses, all the other professional categories in the other industries stated continuous training as the qualification needed. The moulding and the plastic industry showed affinities and both identified the same areas of knowledge for middle managers.
- On the information provided by uncertainty measures in the classification of remote sensing imagesPublication . Gonçalves, Luisa; Fonte, Cidália C.; Júlio, Eduardo N.B.S.; Caetano, MarioThis paper investigates the potential information provided to the user by the uncertainty measures applied to the possibility distributions associated with the spatial units of an IKONOS satellite image, generated by two fuzzy classifiers, based, respectively, on the Nearest Neighbour Classifier and the Minimum Distance to Means Classifier. The deviation of the geographic unit characteristics from the prototype of the class to which the geographic unit is assigned is evaluated with the Un non-specificity uncertainty measures proposed by [1] and the exaggeration uncertainty measure proposed by [2]. The classifications were evaluated using accuracy and uncertainty indexes to determine their compatibility. Both classifications generated medium to high levels of uncertainty for almost all classes, and the global accuracy indexes computed were 70% for the Nearest Neighbour Classifier and 53% for the Minimum Distance to Means Classifier. The results show that similar conclusions can be obtained with accuracy and uncertainty indexes and the latter, along with the analysis of the possibility distributions, may be used as indicators of the classification performance and may therefore be very useful tools. Since the uncertainty indexes may be computed to all spatial units, the spatial distribution of the uncertainty was also analysed. It's visualization shows that regions where less reliability is expected present a great amount of detail that may be potentially useful to the user.