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Data sniffing - monitoring of machine learning for online adaptive systems
14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings.
Adaptive systems are systems whose function evolves while adapting to current environmental conditions. Due to the real-time adaptation, newly learned data have a significant impact on system behavior. When online adaptation is included in system control, anomalies could cause abrupt loss of system functionality and possibly result in a failure. In this paper we present a framework for reasoning about the online adaptation problem. We describe a machine learning tool that sniffs data anddoi:10.1109/tai.2002.1180783 dblp:conf/ictai/LiuMC02 fatcat:7e5v6idfhzg5zjm54lofpdjf3e