Document Type
Conference Paper
Publication Date
2012
Publication Title
Proceedings of the Nokia Mobile Data Challenge Workshop, in Conjunction with the International Conference on Pervasive Computing
Volume
1
Pages
16-21
Conference Name
Mobile Data Challenge 2012 (by Nokia) Workshop, June 18-19, 2012, Newcastle, United Kingdom
Abstract
In this paper, we describe how we use the mobile phone usage of users to predict their demographic attributes. Using call log, visited GSM cells information, visited Bluetooth devices, visited Wireless LAN devices, accelerometer data, and so on, we predict the gender, age, marital status, job and number of people in household of users. The accuracy of developed classifiers for these classification problems ranges from 45-87% depending upon the particular classification problem.
Rights
© 2012 The Authors.
Included with the kind written permission of the lead author.
Original Publication Citation
Mohrehkesh, S., Ji, S., Nadeem, T., & Weigle, M. C. (2012). Demographic prediction of mobile user from phone usage [Paper presentation]. Mobile Data Challenge 2012 (by Nokia) Workshop, Newcastle, United Kingdom.
Repository Citation
Mohrehkesh, S., Ji, S., Nadeem, T., & Weigle, M. C. (2012). Demographic prediction of mobile user from phone usage [Paper presentation]. Mobile Data Challenge 2012 (by Nokia) Workshop, Newcastle, United Kingdom.
ORCID
0000-0002-2787-7166 (Weigle)