Presenter Zohreh Asgharzadeh, SAS Abstract In our increasingly connected digital world, many sensors are connected to each other. Each sensor provides several features and data from those features. As a result, the data sets created from Internet of Things (IoT) applications can consist of hundreds or even thousands of dimensions. Even though the dimensionality is high in these data sets, the actual rank is mostly low because of the high correlations between these dimensions. As a result, subspace analysis and subspace tracking are useful methods of capturing low-dimensional structures from high-frequency, high-dimensional data. In streaming data, a substantial change in the subspace can indicate an anomaly. This session will introduce several measures for detecting changes in the subspace that we use in our anomaly and degradation detection methods. We also present the results of applying our methods to simulated and real-world data sets. These methods have been implemented in an event stream processing platform. Watch the presentation Watch Anomaly and Degradation Detection Using Subspace Tracking in Streaming Data on the SAS Users YouTube channel.    ... View more

Did you know SAS has bee hives? In this demo, I share how we've automated a process to capture SAS bee activity so we can understand vegetation bloom times, honey production, and overall hive health. You'll learn how we use image processing tools, robust principal component analysis, and object tracking methods implemented in SAS® Visual Data Mining and Machine Learning and SAS® Event Stream Processing.         Video highlights 00:18 - Why bees matter 02:01 - How SAS Event Stream Processing monitors bee flight patterns 05:17 - Train an RPCA model 08:43 - Fit images to RPCA model as a table 09:27 - Fit the table to RPCA model 10:37 - Download ASTORE file so SAS Event Stream Processing can use it 10:58 - See results of scoring images   Related resources About SAS® Event Stream Processing (website) About SAS® Visual Data Mining and Machine Learning (website) 5 ways to measure beehive health with hive-streaming data (SAS Insights article) Noninvasive Beehive Monitoring through Acoustic Data Using SAS Event Stream Processing and SAS® Viya® (SAS Global Forum paper)     ... View more