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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
• Deep Learning Modeling (RME-EP). • Neural network (multi-hidden layer deep neural network support). • Neural clustering and segmentation (Self Organizing Maps: SOM). • (Cramer) Decision tree classification and Segmentation. • Hotspot drill-down and profiling analysis. • Regression. • Business rules - Predictive expert systems shell rule engine. • Rule-based predictive model evaluation. • Powerful charts: 3D bars, bars, histograms, histobars, scatterplots, boxplots ... • Segmentation and gains analysis. • Response and profit analysis. • Correlation analysis. • Cross-sell Basket Analysis. • Drill-down statistics. • Cross tables with deviation/hotspot analysis. • Groupby tables with deviation/hotspot analysis. • SQL query/batch tools. • Statistics: Mono, Bi, ANOVA, ... • Database scoring: Apply predictive/segmentation models to database records). • Connect to all major relational DBMS through JDBC. • Data Miner optimized for MicroSoft MS SQL Server, MySQL, PostgreSQL, MS Office Access. • Deploy/publish predictive models on Android phones and Android tablets with MyDataSay app. For downloads, click here. • Database table import/export tools (Support character strings, integer and real numbers). • Super fast and Big data (upto 2 billion records). • Runs on multiple OS: Windows, Linux, Mac OS X, AIX, Solaris, HPUX. "
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 Enterprise (>1001 employees)
• Deep Learning Modeling (RME-EP). • Neural network (multi-hidden layer deep neural network support). • Neural clustering and segmentation (Self Organizing Maps: SOM). • (Cramer) Decision tree classification and Segmentation. • Hotspot drill-down and profiling analysis. • Regression. • Business rules - Predictive expert systems shell rule engine. • Rule-based predictive model evaluation.
What are the benefits?
• Perform statistical data analysis quickly • Drill down into the most complex data • Access visualization tools for data results • Get integrated environment: data mining, predictive modeling, rule engine • Publish predictive models on Android phones/tablets
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
5.6
Features & Functionality
7.6
5.0
Advanced Features
7.6
4.4
Integration
7.6
5.6
Performance
7.6
9.3
Customer Support
7.6
1.4
Implementation
3.0
Renew & Recommend
0.1
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
Editor Rating
3.8
Aggregated User Rating
8 ratings
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.
Data mining, predictive modeling, and rule engine software
Company size
Medium (50 to 1000)
User Role
Consultant
User Industry
Food
Rating
Ease of use8.2
Features & Functionality8.1
Advanced Features8.2
Integration8.2
ADDITIONAL INFORMATION CMSR Data Miner is a data mining, predictive modeling, and rule engine software. The CMSR Data Miner suite 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. The program’s contains a variety of features including Deep Learning Modeling (RME-EP) which entails – Neural network (multi-hidden layer deep neural network support), Neural clustering and segmentation (Self Organizing Maps: SOM), Decision tree classification and segmentation as well as Hotspot drill-down. Another feature is the predictive expert systems shell rule engine, which deals with rule-based predictive model evaluation, and uses powerful charts: 3D bars, bars, histograms, histobars, scatterplots, Box-plots, to visualize data. The program also handles several analysis procedures such as correlation analysis, hotspot analysis, regression analysis, segmentation and gains analysis, response and profit analysis, among others. CMSR data mining capabilities helps organizations to perform customer profiling, segmentation, and trend analysis, from their customer data. It also helps sales and marketing departments to conduct market survey analysis, marketing research, sales forecasting, and sales trend analysis. This gives managers actionable insight, and based on the generated results, they can make smart, informed decisions.
Data mining, predictive modeling, and rule engine software
Medium (50 to 1000)
Consultant
Food
ADDITIONAL INFORMATION
CMSR Data Miner is a data mining, predictive modeling, and rule engine software. The CMSR Data Miner suite 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. The program’s contains a variety of features including Deep Learning Modeling (RME-EP) which entails – Neural network (multi-hidden layer deep neural network support), Neural clustering and segmentation (Self Organizing Maps: SOM), Decision tree classification and segmentation as well as Hotspot drill-down. Another feature is the predictive expert systems shell rule engine, which deals with rule-based predictive model evaluation, and uses powerful charts: 3D bars, bars, histograms, histobars, scatterplots, Box-plots, to visualize data. The program also handles several analysis procedures such as correlation analysis, hotspot analysis, regression analysis, segmentation and gains analysis, response and profit analysis, among others. CMSR data mining capabilities helps organizations to perform customer profiling, segmentation, and trend analysis, from their customer data. It also helps sales and marketing departments to conduct market survey analysis, marketing research, sales forecasting, and sales trend analysis. This gives managers actionable insight, and based on the generated results, they can make smart, informed decisions.