First 12 Steps

Step 1:

What is an EDS

Benefits of the EDS system
Steps for implementation
Required resources

Step 2:

EDS Architecture

Data flow
Data security

Step 3:

EDS project roadmap

Data preparations
Demo stage

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 10:

Model's charts

Single-variable charts
Multi-variables charts
Additional charts

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.