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CMSR Data Miner
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CMSR Data Miner

Overview
Synopsis

CMSR Data Miner Suite (previously StarProbe Data Miner) provides an integrated environment for predictive modeling, segmentation, data visualization, statistical data analysis, and rule-based model evaluation. It also provides integrated analytics and rule-engine environment for advanced power users.

Category

Data Mining Software Free

Features

Software which provides an integrated environment for predictive modeling, segmentation, data visualization, statistical Data analysis, and rule-based model evaluation
Deep learning modeling RME-EP
Supports predictive modeling such as neural network, self organizing maps, decision tree, regression etc
Super fast and big data (upto 2 billion records)
Runs on multiple OS: Windows, Linux, Mac OS X, AIX, Solaris, HPUX etc

License

Open Source

Price

1 year free license for evaluation
Free academic use

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

CMSR Data Miner

Rating
Our Rating
User Rating
Ease of use
7.6
Features & Functionality
7.6
Advanced Features
7.6
Integration
7.6
Customer Support
7.6
Performance
7.6
Training
Implementation
Renew & Recommend
Bottom Line

StarProbe Data Miner or CMSR Data Miner Suite is software which provides an integrated environment for predictive modeling, segmentation, data visualization, statistical data analysis, and rule-based model evaluation.

7.6
Our Rating
User Rating
You have rated this

StarProbe Data Miner or CMSR Data Miner Suite is software which provides an integrated environment for predictive modeling, segmentation, data visualization, statistical data analysis, and rule-based model evaluation. For advanced power users integrated analytics and rule-engine environment is also provided. This software has many features such as: deep learning modeling RME-EP which represents very powerful expert system shell rule engine, supporting predictive modeling such as neural network, self organizing maps, decision tree, regression etc. It has been developed to use SQL-like expressions which users can learn very easily and quickly. Also, RME-EP expert system rules can be written by non-IT professional users without IT professional help; neural network is a very powerful predictive modeling technique which can be used to predict numerical scores as well as classifications; neural clustering and segmentation known as Self Organizing Maps is a very powerful clustering and segmentation method that renders very powerful Radial Basis Functions when is combined with others modeling methods; decision tree can be used for predicting statistical probability of events, classification and Segmentation; hotspot drill-down and profiling analysis, regression is a technique that can predict numerical scores; business rules – because SQL written expressions are easy to understand, it has been widely used by many non-IT professional such as business analysts and users, as well as by IT professionals ; powerful charts: 3D bars, bars, histograms, histobars, scatterplots, boxplots; response and profit analysis; correlation analysis; drill-down statistics; cross tables with deviation/hotspot analysis; data miner optimized for MicroSoft MS SQL Server, MySQL, PostgreSQL, MS Office Access; super fast and big data (upto 2 billion records); runs on multiple OS: Windows, Linux, Mac OS X, AIX, Solaris, HPUX etc.

CMSR Data Miner
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Ease of use
Features & Functionality
Advanced Features
Integration
Customer Support
Performance
Training
Implementation
Renew & Recommend

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