LocaRhythms: Real-Time Data Mining for Continuous Detection and Prediction of Stays

Author

Fetter, Mirko ; Gross, Tom

Author_Institution

Fac. of Media, Bauhaus -Univ. Weimar, Weimar, Germany

fYear

2009

fDate

27-29 Aug. 2009

Firstpage

64

Lastpage

71

Abstract

In distributed teams information on each other´s whereabouts is an important prerequisite for efficient communication, coordination, and cooperation. In this paper we present LocaRhythms-a novel approach for continuous detection and prediction of users´ stays. This is achieved by continuous capturing of position data, by real-time data mining with an innovative combination of machine learning algorithms, and by anytime presenting stays and follow-up stays.

Keywords

Global Positioning System; data mining; groupware; learning (artificial intelligence); mobile computing; team working; LocaRhythms system; distributed teams information; machine learning algorithm; real time data mining; user stay continuous detection; user stay continuous prediction; Area measurement; Coordinate measuring machines; Current measurement; Data mining; Event detection; Extraterrestrial measurements; Frequency measurement; Global Positioning System; Object detection; Position measurement; Computer-Supported Cooperative Work; Continuous Detection and Prediction; Mobile Computing; Real-Time Data Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering and Advanced Applications, 2009. SEAA '09. 35th Euromicro Conference on

Conference_Location

Patras

ISSN

1089-6503

Print_ISBN

978-0-7695-3784-9

Type

conf

DOI

10.1109/SEAA.2009.27

Filename

5349859