First 12 Steps
Step 1:
What is an EDS
Benefits of the EDS system
Steps for implementation
Required resources
Step 4:
Building a new model
Define variables
Load learning set
Train model and evaluate results
Step 5:
Single-Variable detectors
What is a detector?
How to define a single-variable detector, Benefits of a single-variable detector
Step 6:
Using rules for detection
How to define a rule
What is a rules-based detector?
Additional roles of rules
Step 7:
Multi-Variable detectors
What is a multi-variable detector? Benefits of a multi-variable detector, Parameters of a multi-variable detector
Step 8:
Model validation and activation
Define validation and activation, Runtime model data source, Model running policy control
Step 9:
Model running and monitoring
Define runtime data source, Monitoring incoming data, Control model’s hours of activity
Step 11:
Events' classification
What is the classification?
Classification category types, What the model learns from classification
Step 12:
EDS Reports
Server reports and model reports. Types of reports
How to generate and export reports.