Mobile data stream mining: From algorithms to applications

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Shonali Krishnaswamy (Autor) Outra; João Gama (Autor) FEP; Mohamed Gaber (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012

Páginas: 360-363

2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012

Bengaluru, Karnataka, 23 July 2012 through 26 July 2012

Indexação

Scopus - 19 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Físicas > Ciência de computadores

Outras Informações

ID Authenticus: P-008-7WG

DOI: 10.1109/mdm.2012.37

Abstract (EN): This paper presents an overview of the current state-of-the-art in mobile data stream mining. This area of mobile data stream mining is significant for a number of new application domains such as mobile crowd sensing and mobile activity recognition. The paper presents the strategies and techniques for adaptation that are essential in order to perform real-time, continuous data mining on mobile devices. We present an overview of the algorithms research in this area. Finally, we discuss the key toolkits, systems and applications of mobile data stream mining. © 2012 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica