Introduction to Data Mining

• Getting Started With Data Mining
• Rules of Use
• FAQ

Step By Step Guide

• Step by Step Guide
• Query Types
• Working with Classes
• Using Rules and Decision Trees Settings
• Viewing Field Values

Program Interface

• The ESTARD Data Miner Menu
• Managing Panel
• Query Wizard
• ESTARD Data Miner Pages
• "Database" Page
• "Statistics" Page
• "Rules" Page
• "Decision Tree" Page
• "Initial Query" and "Query Parameters" Pages
• "What-If" Page
• "Search a Database" Page

Using Databases

• Learning Database
• Analysed Database
• Database Types
• Database Loading
• Loading a Database Using ODBC Drivers

Using Rules & Decision Trees

• Query Settings
• Using Rules
• Editing Rules
• Using Decision Trees

BI Functions

• Selecting BI Data to Use
• Fields Mapping Settings
• Patterns Searching: Simple Select Query

Reporting & Saving 

• Decision Trees and Rules Reports
• ESTARD Data Miner Files

Using Decision Rules (IF-THEN Rules)

If-then Rules, also called Decision Rules or Production Rules are a basic structure in data mining and expert systems. This method of knowledge representation is simple and easy to use for data analysis. Each rule defines a piece of overall knowledge. Rules can be edited, removed or added independently from each other.

Rule Structure

The Rule cosists of condition and conclusion. In case if there are many conditions, they are separated by "and".

For example: IF condition1 and condition2 THEN conclusion

As a conclusion, ESTARD Data Miner represents so-called Classes - values, obtained from database or created manually by the user. During the rules creation, the progtam reveals all rules for classes, groups them and outputs.

For convenient viewing the, the conclusion (Class) is placed before the Rule.

To view target rule details click on it in the top control and details will be listed below.

Note: Each Rule is marked with a unique number that is not a part of a Rule.