Unsupervised real-time anomaly detection for streaming data

We are seeing an enormous increase in the availability of streaming, time-series data. Largely driven by the rise of connected real-time data sources, this data presents technical challenges and opportunities... (read more)

PDF Abstract

Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Anomaly Detection Numenta Anomaly Benchmark HTM AL NAB score 70.1 # 1
Anomaly Detection Numenta Anomaly Benchmark CAD OSE NAB score 69.9 # 2
Anomaly Detection Numenta Anomaly Benchmark nab-comportex NAB score 64.6 # 4

Methods used in the Paper


METHOD TYPE
๐Ÿค– No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet