Mining patterns of mobile users through mobile devices and the musics they listen

Abstract

Mobile data mining [8-11] is about the analysis of data generated by mobile activities, in search for useful patterns in order to support different types of decision making requirement. Mobile devices are loaded with features such as the capability to listen to radio from a mobile phone. Mobile users who listen to radios on their mobile phones are a source of data generated from mobile activities. The location dependent data [9] and the song they listen to can be combined and analysed in order to better understand the behaviour of mobile users. This paper shows how this can be done by using taste template, which categorises a behaivoural type in order to match mobile users into one of these categories. Conclusion from this research project confirms a new way to learning behaviour of mobile users. © Springer-Verlag Berlin Heidelberg 2005.