Context-aware device self-configuration using self-organizing maps
Batyuk, Leonid, Scheel, Christian, Camtepe, Seyit Ahmet, & Albayrak, Sahin (2011) Context-aware device self-configuration using self-organizing maps. In Proceedings of the 2011 Workshop on Organic Computing, ACM, Karlsruhe, Germany, pp. 13-22.
Modern mobile computing devices are versatile, but bring the burden of constant settings adjustment according to the current conditions of the environment. While until today, this task has to be accomplished by the human user, the variety of sensors usually deployed in such a handset provides enough data for autonomous self-configuration by a learning, adaptive system. However, this data is not fully available at certain points in time, or can contain false values. Handling potentially incomplete sensor data to detect context changes without a semantic layer represents a scientific challenge which we address with our approach. A novel machine learning technique is presented - the Missing-Values-SOM - which solves this problem by predicting setting adjustments based on context information. Our method is centered around a self-organizing map, extending it to provide a means of handling missing values. We demonstrate the performance of our approach on mobile context snapshots, as well as on classical machine learning datasets.
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|Item Type:||Conference Paper|
|Keywords:||adaptive system, context-awareness, mobile, organic computing, self-organizing map, smartphones|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||13 Mar 2013 01:15|
|Last Modified:||06 Mar 2015 05:30|
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