Anomaly Detection Framework for PingER Data

The poster was submitted as part of the UNIMAS R&D Expo 2015. The project won Bronze Medal from the Expo for the ICT Cluster category.

Bibliographic Details

Main Authors:	Danny Wilson, Mandai, Johari, Abdullah
Format:	Magazine and Newsletter
Language:	en
Published:	Faculty of Computer Science and Information Technology 2015
Subjects:	A32 Universiti Malaysia Sarawak > Innovation.
Online Access:	http://ir.unimas.my/id/eprint/8002/1/Anomaly%20Detection%20Framework%20for%20PingER%20Data.pdf http://ir.unimas.my/id/eprint/8002/
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