A Parameter Space Framework for Online Outlier Detection Over High-Volume Data Streams
In diverse applications ranging from social networks to location-based online services to traffic monitoring, data streams are continuously monitored by multiple outlier analysts customized with different parameter settings.Real-time response to such complex rumchata proof outlier analytics in high-speed streaming data has been recognized as critic