Mindset-DetectorHelp - > Tutorials


Lesson 1 - What is an EDS?
Benefits of the EDS system
Steps for implementation
Required resources

Lesson 2 - EDS architecture
Data flow
Data security

Lesson 3 - EDS project road map
Data preparations
Demo stage

Lesson 4 - Building a new model
Define variables
Load learning set
Train model and evaluate results

Lesson 5 – Single-variable detectors
What is a detector?
How to define a single-variable detector
Benefits of a single-variable detector

Lesson 6 - Using rules for detection
How to define a rule
What is a rules-based detector?
Additional roles of rules

Lesson 7 – Multi-variable detectors
What is a multi-variable detector?
Benefits of a multi-variable detector
Parameters of a multi-variable detector

Lesson 8 - Model validation and activation
Define validation and activation
Runtime model data source
Model running policy control

Lesson 9 - Model runtime monitoring
Define run time data source
Monitoring incoming data
Control model’s hours of activity

Lesson 10 - Model charts
Single-variable charts
Multi-variables charts
Additional charts

Lesson 11 - Events classification
What is classification?
Classification category types
What the model learns from classification

Lesson 12 - EDS reports
Server reports and model reports.
Types of reports
How to generate and export reports