Publications

Publications by LIAAD

2009

An overview on mining data streams

Authors
Gama, J; Rodrigues, PP;

Publication
Studies in Computational Intelligence

Abstract
The most challenging applications of knowledge discovery involve dynamic environments where data continuous flow at high-speed and exhibit non-stationary properties. In this chapter we discuss the main challenges and issues when learning from data streams. In this work, we discuss the most relevant issues in knowledge discovery from data streams: incremental learning, cost-performance management, change detection, and novelty detection. We present illustrative algorithms for these learning tasks, and a real-world application illustrating the advantages of stream processing. The chapter ends with some open issues that emerge from this new research area. © 2009 Springer-Verlag Berlin Heidelberg.

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2009

Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009. Proceedings

Authors
Huang, R; Yang, Q; Pei, J; Gama, J; Meng, X; Li, X;

Publication
ADMA

Abstract

2009

Data Streams

Authors
Gama, J; Rodrigues, PP;

Publication
Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes)

Abstract

2009

Learning from Data Streams

Authors
Gama, J; Rodrigues, PP;

Publication
Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes)

Abstract

2009

Special track on data streams

Authors
Gama, J; Carvalho, A; Rodrigues, PP; Aguilar, J;

Publication
Proceedings of the ACM Symposium on Applied Computing

Abstract

2009

Advanced Data Mining and Applications: 5th International Conference, ADMA 2009 Beijing, China, August 17-19, 2009 Proceedings - Preface

Authors
Qiang, Y; Ronghuai, H; Jian, P; Gama, J; Xiaofeng, M;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract