Mobile data stream mining: From algorithms to applications

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Shonali Krishnaswamy (Author) Other; João Gama (Author) FEP; Mohamed Gaber (Author) Other

Conference proceedings International

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

Pages: 360-363

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

Bengaluru, Karnataka, 23 July 2012 through 26 July 2012

Indexing

Scopus - 19 Citations

Scientific classification

FOS: Engineering and technology

CORDIS: Physical sciences > Computer science

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific