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Finding Ghosts in Your Data [2022]

1
The Importance of Anomalies and Anomaly Detection
2
Humans Are Pattern Matchers
3
Formalizing Anomaly Detection
4
Laying Out the Framework
5
Building a Test Suite
6
Implementing the First Methods
7
Extending the Ensemble
8
Visualize the Results
9
Clustering and Anomalies
10
Connectivity-Based Outlier Factor (COF)
11
Local Correlation Integral (LOCI)
12
Copula-Based Outlier Detection (COPOD)
13
Time and Anomalies
14
Change Point Detection
15
An Introduction to Multi-series Anomaly Detection
16
Standard Deviation of Differences (DIFFSTD)
17
Symbolic Aggregate Approximation (SAX)
18
Configuring Azure Cognitive Services Anomaly Detector
19
Performing a Bake-Off
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