When the Hunter Becomes the Prey – Tracking down Web Crawlers in Clickstreams (2008)
Anália Loureço, Ronnie Alves, Orlando Belo
Abstract. Clickstreams are the latest acquisition of decision support systems. They are an amazing opportunity in terms of analysis, opening up the area of usage profiling. However, there are...
A Heuristic-Regression Approach to Crawler Pattern Identification on Clickstream Data (2008)
Web robots, crawlers and spiders are software agents that visit Web sites periodically for multiple purposes. Usually, these activities impel the generation of additional clickstream and pattern data...
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...
AN OLAM APPROACH TO ANALYZE E-COMMERCE CLICKSTREAMS (2008)
Abstract- Clickstream analysis can reveal usage patterns on the company’s web site and give highly improved understanding of customer behavior. This understanding can then be utilized for improving...
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...
Discovering Co-Relations on Research Topics and Authors from the PubMed Database (2008)
Pedro Gabriel Ferreira, Giovani Librelotto, Ronnie Alves
Abstract. PubMed is a service of the U.S. National Library of Medicine that provides access to over 17 million citations in life science journals. In order to find patterns among these citations,...
Aggregation-based mining methods : from single to N-dimensional data analysis (2007)
Tese de doutoramento em Informática.
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...