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Business
Estard Data Miner - 1.3 |
Data mining software, able to unearth hidden relations in data. The newest data mining techniques, built in wizards, intuitive interface and rich functionality make Estard Data Miner a powerful end-to-end analytical solution.
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Software Description:
Estard Data Miner is a comprehensive data mining application, able to discover hidden relations both in structured and unstructured data. The newest data mining techniques were incorporated into this data mining software for carrying out automated data analysis. The program is a powerful end-to-end analytical solution. This data mining software can be used in business sector including: insurance industry, banking, finances (for example, determining and improving troubled business processes), marketing campaigns (costs decreasing and responce improving). A special feature of the program is that the discovered knowledge can be easily used for prediction. Besides, Estard Data Miner can be used in medicine, scientifical researches and even in military sphere. Some of the software functions are: importing data from various databases, statistical analysis, decision trees creation and revealing all rules which describe hidden correlations in data. Rules can be edited or deleted by users in case if they want to combine their own knowledge with discovered one. A special feature of the software is that created rules and decision trees can be easily used for quick analysis of any other databases, so you can save your time and resources. The automatization of data mining process doesn’t demand special efforts from user. Thanks to built in wizards and user-friendly interface the user needs minimum time to start working with Estard Data Miner.
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| Software Requirements: |
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Processor 450 MHz or better, 128 Mb RAM (256 Mb recommended), 3 Mb of free disk space.
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| This software is designed to run on the following operating systems: |
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Windows 98, Windows, Windows Me, Windows XP, Windows 2000
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| Keywords: |
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Statistics, Prediction, Sql, Rules, Data Mining, Decision Tree, Data Mining Insurance, If-then, Classification, Decision Making
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