An Overview on Mining Data Streams

• Tipo: Capítulo ou Parte de Livro
• Data: 2009

Autores

João Gama (Autor) FEP; Pedro Rodrigues (Autor) Outra

Livro

Título: Foundations of Computational Intelligence - Volume 6: Data Mining

Páginas: 29-45

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

DOI: 10.1007/978-3-642-01091-0_2

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica