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- Database marketing intelligence supported by ontologiesPublication . Pinto, Filipe; Santos, Manuel Filipe; Marques, Alzira; Mota Pinto, Filipe; Marques, AlziraMarketing departments handles with a great volume of data which are normally task or marketing activity dependent. This requires the use of certain, and perhaps unique, specific knowledge background and framework. This article aims to introduce an almost unexplored research at marketing field: the ontological approach to the Database Marketing process. We propose a framework supported by ontologies and knowledge extraction from databases techniques. Therefore this paper has two purposes: to integrate the ontological approach into Database Marketing and to create a domain ontology, a knowledge base that will enhance the entire process at both levels, marketing and knowledge extraction techniques. In order to structure and systematize the marketing concepts, Action Research methodology has been applied. At the end of this research the ontologies will be used to pre-generalize the Database Marketing knowledge through a knowledge base.
- Marketing database knowledge extraction - towards a domain ontologyPublication . Pinto, Filipe Mota; Gago, Pedro; Santos, Manuel Filipe; Mota Pinto, Filipe; Gago, PedroOntologies are currently the most prominent computer science research area under development. With this paper we use ontologies at an almost unexplored research area within the marketing discipline, throughout ontological approach to the database marketing. We propose a generic framework supported by ontologies for the knowledge extraction from marketing databases. Therefore this work 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. This research was developed according to two methodological principles, ontology domain double articulation and ontology modularization. At the end of our work we use ontologies to pre-generalize the Database Marketing knowledge through a knowledge base.
- Considering application domain ontologies for data miningPublication . Mota Pinto, Filipe; Santos, Manuel FilipeThe dramatically explosion of data and the growing number of different data sources are exposing researchers to a new challenge - how to acquire, maintain and share knowledge from large databases in the context of rapidly applied and evolving research. This paper describes a research of an ontological approach for leveraging the semantic content of ontologies to improve knowledge discovery in databases. We analyze how ontologies and knowledge discovery process may interoperate and present our efforts to bridge the two fields, knowledge discovery in databases and ontology learning for successful database usage projects.
- INTCare: On-line knowledge discovery in the intensive care unitPublication . Gago, Pedro; Fernandes, C.; Pinto, Filipe; Santos, M.F.In our work aim to automate the knowledge discovery process. In this paper we present the INTCare system, an intelligent decision support system for intensive care medicine. INTCare is an agent based system that has (autonomous) agents responsible both for data acquisition and model updating thus reducing the need for human intervention. In the present, INTCare is predicting organ failure and probability of in-hospital death. Reliable prediction results facilitate a change from the current reactive behavior to a pro-active one thus enhancing the quality of service. The functional and structural aspects are presented as are some results obtained using data collected from the bedside monitors.
- Penetration Testing on Virtual EnvironmentsPublication . Guarda, Teresa; Orozco, Walter; Augusto, Maria Fernanda; Morillo, Giovanna; Navarrete, Silvia Arévalo; Mota Pinto, Filipe
- Senior Potential Analysis: A Challenge that Contributes to Social SustainabilityPublication . Guarda, Teresa; Mota Pinto, Filipe; Cordova, Juan Pablo; Augusto, Maria Fernanda; Mato, Fernando; Quiña, Geovanni NinahualpaPopulation aging is one of the greatest triumphs of humanity, also is both a major challenge. The number of older workers in the European Union (EU) will increase over the next decades, the active population of the EU points to a growth of approximately 16.2% of the age group of 55-64 years between 2010 and 2030, being contrary to tendency of other age groups, with a reduction of 4% to 5%. This demographic change is due to the decline in fertility rates and increased life expectancy. The labor force in Europe will reach age levels never before registered in that older workers represent more than 30% of the active population. In this paper, based on the questionnaire results, brought out by "harnessing the potential senior", which was applied in enterprises in Portugal. It is intended to address some of the concerns related to the aging population and the use of senior potential, facing this problem as a challenge that contributes to social sustainability. Thus, the senior potential should be seen as a very important contribution. In this paper, we intend extract the survey data from data bases, for knowledge discovery and analysis using the data mining tool Weka.
- Knowledge extraction guided by ontologies: Database marketing applicationPublication . Mota Pinto, Filipe; Guarda, TeresaThe knowledge extraction in large databases has being known as a long term and interactive project. In spite of such complexity and different options for the knowledge achievement, there is a research opportunity that could be explored, throughout the ontologies support. Then this support may be used for knowledge sharing and reuse. This paper describes a research of an ontological approach for leveraging semantic content of ontologies to improve knowledge extraction in a oil company marketing databases. We attain to analyze how ontologies and knowledge discovery process may interoperate and present our efforts to propose a possible framework for a formal integration.
- Ontology-supported database marketingPublication . Pinto, Filipe Mota; Marques, Alzira; Santos, Manuel Filipe; Mota Pinto, Filipe; Marques, AlziraDatabase marketing (DBM) provides in -depth analysis of marketing databases. Knowledge discovery in database techniques is one of the most prominent approaches to supporting some of the DBM process phases. However, in many cases, the benefits of these tools are not fully exploited by marketers. Complexity and amount of data constitute two major factors limiting the application of knowledge discovery techniques in marketing activities. Currently, ontologies may here play an important role in the marketing discipline. Motivated by its success in the area of artificial intelligence, we propose an ontology-supported DBM approach. The approach aims to enhance DBM with ontology by providing detailed step-phase specific information. Our research work has its foundations in a double methodological approach using the Delphi and Action Research methodologies. First, we use Delphi to structure related DBM knowledge, and then we align our work to the Action Research methodology in order to systematise the knowledge extraction process and knowledge base creation. The issues raised in this paper both respond and contribute to calls for a DBM process improvement. Our work was evaluated in the relationship marketing domain focusing on a relational marketing programme database. The findings of this study not only advance the state of DBM research, but also shed light on future research directions.
- Pervasive business intelligence as a competitive advantagePublication . Guarda, Teresa; Mota Pinto, Filipe; Cordova, Juan Pablo; Mato, Fernando; Quina, Geovanni Ninahualpa; Augusto, Maria FernandaToday the strategic significance of information is fundamental to any organization. With the intensification of competition between companies in open markets and often saturated, companies must learn to know themselves and to the market through the collection and analysis of quality information. The strategic information is seen as a key resource for success in the business, which is provided by Business Intelligence systems. A successful business strategy requires an awareness of the surrounding (internal and external) environment of organizations, including customers, competitors, industry structure and competitive forces. Managing the future means not only is able to anticipate what will happen outside the organization, but also be able to represent the events through their own actions timely. To make it possible, Pervasive Business Intelligence arises as a natural evolution of business intelligence applications in organizations, allowing to companies achieve and maintain a sustainable competitive advantage.
- Wireless Sensor Networks in Intensive Care UnitsPublication . Silva, Ricardo; Silva, Jorge Sá; Silva, Álvaro; Mota Pinto, Filipe; Simek, Milan; Boavida, FernandoKnowledge of patients weight is essential for daily practice in intensive care units. Many medications, including anticoagulants, nutrition, antibiotics and vasopressors are dependent on weight and height for precise dosing. Patients weight is used to adjust the dose of many drugs, and the dosages of infusions of vasoactive drugs are expressed in micrograms per kilogram of body weight per minute so that cardiovascular function can be assessed and comparisons between patients can be made. This paper presents a new laboratorial prototype based on Wireless Sensor Networks to measure weight of patients. The technology proposed presents several advantages like simplicity and robustness, resulting in an alternative approach that can be used massively replacing old and expensive solutions in Intensive Care Units. The platform implemented monitors the weight of each bedfast patient, triggering an alarm every time an unusual situation occurs. It also provides a complete suite of tools to manage, access and control all situations related to each patient.