Example of Correlation Scoring

Correlation Scoring use case.

In this example, the correlation scoring rule-based Event Count and Total Transaction Amount is defined as follows:
  • Correlation 1: Total Transaction Amount = 170000, Event Count =3
  • Correlation 2: Total Transaction Amount = 180000, Event Count = 7
  • Correlation 3: Total Transaction Amount = 50000, Event Count = 8
  1. Define a rule (Rule1) with the score 30 based on the following conditions:
    • Conditions: Transaction Amount >= 100001 and Transaction Amount < 500001
    • Result: Correlation 1 and Correlation 2 will be assigned a score as 30
  2. Define a rule (Rule2) with the score 50 based on the following conditions:
    • Conditions: Event Count > 5 and Event Count < = 10
    • Result: Correlation 2 and Correlation 3 will be assigned a score as 50.
Follow these steps to define this use case:
  1. Add a rule (Rule1) using Add Add icon from the Rules window. The Rules window is displayed.
    1. Enter the Rule Name, Description, and Score as 30.
    2. Define condition 1 and condition 2 as Transaction Amount >= 100001 and Transaction Amount < 500001.

      Figure 6-1 Example of Correlation Scoring – Condition 1

      This image shows the Rules window for the Medium bucket for total transaction amount rule with the conditions displaying as described in the steps.
    3. Click Save Save icon.
  2. Add a rule (Rule2) using Add Add icon from the Rules window The Rules window is displayed.
    1. Enter the Rule Name and Score as 50.
    2. Define condition 1 and condition 2 as Event Count > 5 and Event Count < = 10

      Figure 6-2 Example of Correlation Scoring – Condition 2

      This image shows the Rules window for the Medium number of events rule with the conditions displaying as described in the steps.
    3. Click Save Save icon.
After defining the scoring rules, the total correlation score will be calculated based on the Score Aggregation Type. The Score Aggregation Types are described in the following table.

Table 6-8 Score Aggregation Types

Aggregation Type Correlation 1 Correlation 2 Correlation 3
SUM 30 30+50=80 50
MIN 30 30 50
MAX 30 50 50