Publications

Publications by João Gama

2018

Special track on data streams

Authors
Bifet, A; Carvalho, A; Gama, J;

Publication
Proceedings of the ACM Symposium on Applied Computing

Abstract

2019

Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part II

Authors
Li, G; Yang, J; Gama, J; Natwichai, J; Tong, Y;

Publication
DASFAA (2)

Abstract

2019

Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part III, and DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22-25, 2019, Proceedings

Authors
Li, G; Yang, J; Gama, J; Natwichai, J; Tong, Y;

Publication
DASFAA Workshops

Abstract

2019

Detecting Bursts of Activity in Telecommunications

Authors
Veloso, B; Martins, C; Espanha, R; Azevedo, R; Gama, J;

Publication
BigMine@KDD

Abstract
The high asymmetry of international termination rates, where calls are charged with higher values, are fertile ground for the appearance of frauds in Telecom Companies. In this paper, we present a solution for a real problem called Interconnect Bypass Fraud. This problem is one of the most expressive in the telecommunication domain and can be detected by the occurrence of burst of calls from specific numbers. Based on this assumption, we propose the adoption of a new fast forgetting technique that works together with the Lossy Counting algorithm. Our goal is to detect as soon as possible items with abnormal behaviours, e.g. bursts of calls, repetitions and mirror behaviours. The results shows that our technique not only complements the techniques used by the telecom company but also improves the performance of the Lossy Counting algorithm in terms of runtime, memory used and sensibility to detect the abnormal behaviours.

CloseRead Abstract

2019

Machine learning for streaming data: state of the art, challenges, and opportunities

Authors
Gomes, HM; Read, J; Bifet, A; Barddal, JP; Gama, J;

Publication
SIGKDD Explor.

Abstract

2020

Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications co-located with 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019

Authors
Bifet, A; Berlingerio, M; Gama, J; Read, J; Nogueira, AR;

Publication
BigMine@KDD

Abstract