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AOD

AOD Anomaly-Detection Outlier-Detection

The main objective of this repository is to organize the results obtained by the Anomaly and Outlier Detection (AOD) method that works on time series data.

The Instances directory stores the instance files in csv that were generated and used in the experiments. The published files are about multivariate time series. The instances of YOB (Yahoo Outlier Benchmark) and NAB (Numenta Anomaly Benchmark) are not disclosed here, but can be obtained from the links YOB and NAB. The instance of the case study was not disclosed due to industrial property issues.

The Results directory stores the results obtained by the AOD method. This directory has the following subdirectories: 1-YOB, 2-NAB, 3-Synthetic-Dataset and 4-Case-Study. See the directory structure shown below.

Show directory structure diagram-flow

Results YOB

The 1-YOB directory has four subdirectories which are: A1, A2, A3 and A4. Inside each of these directories we have the images showing the results of the experiments on the YOB benchmark. The images give a photographic idea that shows how the method works. Some of the images from the experiments are shown below.

Results - YOB Results - YOB
A1 Benchmark - Instance 55 A2 Benchmark - Instance 38
A3 Benchmark - Instance 39 A4 Benchmark - Instance 35

Results NAB

The 2-NAB directory has seven subdirectories which are: artificialNoAnomaly, artificialWithAnomaly, realAdExchange, realAWSCloudwatch, realKnownCause, realTraffic and realTweets. Inside each one of these directories we have the images showing the results of the experiments on the NAB benchmark. Some of the images from the experiments are shown below.

Results - NAB Results - NAB
artificialNoAnomaly - art_daily_small_noise artificialWithAnomaly - art_daily_jumpsdown
realAdExchange - exchange-4_cpm_results realAWSCloudwatch - ec2_cpu_utilization_fe7f93
realKnownCause - machine_temperature_system_failure realKnownCause - ambient_temperature_system_failure
realTraffic - speed_t4013 realTweets - Twitter_volume_CVS

Results Synthetic Dataset

The 3-Synthetic-Dataset directory has five files in which these files contain the images showing the results of experiments on synthetic data generated using the agots tool. Some of the images from the experiments are shown below.

Results - Synthetic Dataset Results - Synthetic Dataset
Synthetic Dataset Multivariate - Instance 1 Synthetic Dataset Multivariate - Instance 2
Synthetic Dataset Multivariate - Instance 3 Synthetic Dataset Multivariate - Instance 4
Synthetic Dataset Multivariate - Instance 5

Results Case Study

The 4-Case-Study directory has a file containing an image showing the result of one of the experiments performed on the case study with multivariate data. An example image of one of the experiments is shown below.

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