Introduction to ESTARD Data Miner

Introduction to Data Mining

Step By Step Guide

Program Interface

Using Databases

Using Rules & Decision Trees

BI Functions

Reporting & Saving 
 Home page

Query Types


A "Query" is a kind of data processing, used for knowledge discovery with ESTARD Data Miner.

There are two main query types in ESTARD Data Miner:

  • Data mining queries for obtaining data, like IF-THEN rules, decision trees and statistics.
  • Queries for using IF-THEN rules and decision trees for searching in data patterns in data sets.

1. Queries for Obtaining Statistics, If-Then Rules and Decision Trees

To obtain IF-THEN rules or decision trees you can use either Query Wizard or the "Query Parameters" program tab.

Using Query Wizard is recommended for starting users. With it's help you will easily create IF-THEN rules, decision trees and statistics in a few steps.

Manual query setting is faster and more convenient for experts, aknowledged with program structure.

The main difference between using Query Wizard and manual query setting is that manual query setting is more flexible, allows to create statistics separately from IF-THEN rules and decision trees. As a result, the all analysis process is faster and more flexible:

  1. Initial Query - on this step you will receive Statistics. Once loaded and not edited data set doesn't need to be processed with statistics query every time you want to create new rules or decision trees. It is enougth to perform this Query before the first rules or decision trees creation and after any content changes (records editing) you make in the Learning Database (page "Database") .
  2. After obtaining statistics, IF-THEN Rules and Decision Trees can be created ( "Query Parameters" page). After acquaintance with program structure, you will be able to create rules and decision trees faster, than with the help of Query Wizard.

2. Query for Using Obtained Data

The obtained Data can be used for calculations, reports, statistics, WHAT-IF analysis or for searching for data patterns in databases with the help of ESTARD Data Miner functions.

For example: After obtaining Decision Rules describing loyal customers, you can search for loyal customers in other databases.

The obtained  data can be used to perform "Simple Select Query" ("Search a Database" page). "Simple Select Query" doesn't perform any data set changes. After performing a "Simple Select Query", ESTARD Data Miner will  select and display all records, that are relevant to rules, selected for the "Simple Select Query".