Estard Data Miner is an advanced data analysis software that can easily discover hidden relationships. With advanced mining techniques, intuitive user interface, built-in wizards and rich functions, it offers a complete analytical solution.

One of the standout features of the Estard Data Miner is its ease of use. The disentangled knowledge can be effortlessly used for predictions, which is a significant advantage for data analysts. This data mining software can also be employed in medical, scientific, and military research.
With unlimited functions, Estard Data Miner allows users to import data from various databases, carry out statistical analysis, create decision trees, and uncover all rules that explain hidden correlations in data. Users are allowed to edit or delete rules in case they want to combine their insights with the findings.
Users can leverage the software's unique feature of quick analyzing any other databases by creating decision trees and rules. Automating the mining process of data does not require any extra efforts. Due to the built-in wizards and the user-friendly interface, users can start working with Estard Data Miner swiftly with minimal time and resource requirements.
Overall, the Estard Data Miner offers exemplary functionality and an easy-to-use interface, making it one of the best data mining software available in the market right now.
Version 3.1.325:
Test connection feature added;
New Statistics features added.
Version 3.0.2:
New decision trees settings.
If-Then rules creation hints.
New program interface.
WHAT-IF Analysis.
Data patterns discovery.
New graphical data output.
Updated statistics module.
Version 3.0.1.2:
New decision trees settings.
If-Then rules creation hints.
New program interface.
WHAT-IF Analysis.
Data patterns discovery.
New graphical data output.
Updated statistics module.
Version 3.0.1:
New program interface.
WHAT-IF Analysis.
Data patterns discovery.
New graphical data output.
Updated statistics module.
Version 3.0: N/A
Version 3.0 beta: N/A
Version 2.1.0.1: N/A
Version 2.0.1: N/A
Version 2.0.2: N/A
Version 1.4: N/A