Data collection from mobile phone for personalized behavior mining

Data collection from mobile phone for personalized behavior mining

In this project, a prototype data collection software on Android mobile devices is developed. To test the implementation, GPS traces, the outgoing /incoming calls, the short messages and media playback data are collected and processed for pattern mining purposes. Moreover, we study how these collect...

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Bibliographic Details
Main Author: Thong, Yan Ling.
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Computer science and engineering::Computer applications
Online Access:http://hdl.handle.net/10356/52068
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Institution: Nanyang Technological University
Language: English
Description
Summary:In this project, a prototype data collection software on Android mobile devices is developed. To test the implementation, GPS traces, the outgoing /incoming calls, the short messages and media playback data are collected and processed for pattern mining purposes. Moreover, we study how these collected data can be transformed into an eigenbehaviour representation and how future activities can be predicted. In addition, we study how one can discover the frequent locations from individual GPS traces.

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