Clickstreams, The Basis to Establish User Navigation Patterns on Web Sites (2008)
R. Alves, O. Belo, F. Cavalcanti, P. Ferreira
Collecting and mining clickstream data from e-commerce sites has become increasingly important for marketing, advertising, and traffic analysis activities. Organizations are promoting many...
Mining Top-K Multidimensional Gradients (2008)
Ronnie Alves, O Belo, Joel Ribeiro
Abstract. Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing gradient...
Abstract. The main idea of iceberg data cubing methods relies on optimization techniques for computing only the cuboids cells above certain minimum support threshold. Even using such approach the...
MINING CLICKSTREAM-BASED DATA CUBES (2008)
Abstract: Clickstream analysis can reveal usage patterns on company’s web sites giving highly improved understanding of customer behaviour, which can be used to improve customer satisfaction with...
Effective OLAP Mining of Evolving Data Marts (2008)
Ronnie Alves, O Belo, Fabio Costa
Organizations have been used decisions support systems to help them to understand and to predict interesting business opportunities over their huge databases also known as data marts. OLAP tools have...
Detecting Telecommunications Fraud based on Signature Clustering Analysis (2008)
Pedro Gabriel Ferreira, Ronnie Alves, O Belo, Joel Ribeiro
Abstract. In the telecommunications services, fraud situations have a significant business impact. Due to the massive amounts of data handled, fraud detection stands as a very difficult and...
Establishing Fraud Detection Patterns Based on (2006)
Pedro Ferreira, Ronnie Alves, O Belo, Luís Cortesão
Abstract. All over the world we have been assisting to a significant increase of the telecommunication systems usage. People are faced day after day with strong marketing campaigns seeking their...
Discovering telecom fraud situations through mining anomalous behavior patterns (2006)
Ronnie Alves, Pedro Ferreira, O Belo, Joao Lopes
In this paper we tackle the problem of superimposed fraud detection in telecommunication systems. We propose two anomaly detection methods based on the concept of signatures. The first method relies...
Cross-sectoral responses to health for all in Timor-Leste (2005)
Snell, B., Martins, N., Hoy, D., Belo, O., Gomes, L., Vital, M., ...
The Ministry of Health recognises health as a cross-sectoral issue. The strategic goal for their policy document, Intersectorial Action Framework for well-being and health (IAF), is: ...enhanced...
G A/a, Advisor Prof Orl, O Belo, Advisor Prof, Daltro Nunes
Research Interests Include databases, data mining, aggregation-based mining methods, and its application on advanced data analysis. We’ve been experiencing our methods on business- and stream-data...
João M. Fernandes, Orlando Belo, Jo~ao M. Fern, Es Orl, O Belo, Colored Petri Nets
This paper presents and discusses an industrial production system model based on Colored Petri Nets. The model was developed in order to analyse the agent's behavior of a distributed multi-agent...
Resource allocation on agent metasocieties (1997)
Abstract. This paper is concerned with the formalization of a automated contracting mechanism that enables a society of cooperative resource allocation agents to negotiate rationally in a...
Parallel Neural Network Recognition a Multi-Agent System Approach (1997)
A. Cunha, C. Biscaia, M. Torres, L. Sobral, O. Belo
This paper presents and discusses the design and the development of a pattern recognition agent based on neural networks. This agent is part of an intelligent navigation system, providing it with the...