Data stream mining: The bounded rationality

• Type: Article in International Scientific Journal
• Date: 2013

Authors

João Gama (Author) FEP

Journal

The Journal is awaiting validation by the Administrative Services.

Title: Informatica (Slovenia)

Vol. 37

Pages: 21-25

ISSN: 0350-5596

Indexing

Scopus - 23 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Technological sciences > Engineering > Computer engineering

Other information

Authenticus ID: P-008-APM

Abstract (EN): The developments of information and communication technologies dramatically change the data collection and processing methods. Data mining is now moving to the era of bounded rationality. In this work we discuss the implications of the resource constraints impose by the data stream computational model in the design of learning algorithms. We analyze the behavior of stream mining algorithms and present future research directions including ubiquitous stream mining and self-adaption models.

Language: English

Type (Professor's evaluation): Scientific