Audience

Users interested in an innovative data mining software tool

About WizWhy

WizWhy determines how the values of one field in the data are affected by the values of other fields. The system performs its analysis based on one field selected by the user as the dependent variable, while the other fields are the independent variables (or conditions). The dependent variable can be analyzed as either Boolean or continuous.

The user can fine-tune the analysis by defining parameters such as the minimum probability of the rules, the minimum number of cases in each rule and the cost of a miss vs. the cost of false alarm.

WizWhy reveals and lists the rules that relate between the dependent variable and other fields (conditions). The rules are formulated as if-then and if-and-only-if statements. On the basis of the discovered rules WizWhy points out the main patterns, the unexpected rules (interesting phenomena) and the unexpected cases in the data.

WizWhy can issue predictions for new cases on the basis of the discovered rules.

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Company Information

WizSoft
Founded: 1983
United States
www.wizsoft.com/products/wizwhy/

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

WizWhy Frequently Asked Questions

Q: What kinds of users and organization types does WizWhy work with?
Q: What languages does WizWhy support in their product?
Q: What kind of support options does WizWhy offer?
Q: What type of training does WizWhy provide?

WizWhy Product Features

Data Analysis

Data Visualization
Text Analytics
Regression Analysis
Data Discovery
Sentiment Analysis
High Volume Processing
Statistical Modeling
Predictive Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Predictive Analytics

For Education
For Healthcare
Modeling & Simulation
Data Blending
Demand Forecasting
Sentiment Analysis
Data Mining
AI / Machine Learning
Benchmarking

Qualitative Data Analysis

Qualitative Comparative Analysis
Mixed Methods Research
Media Analytics
Data Visualization
Text Analytics
Multi-Language
Quantitative Content Analysis
Collaboration
User Research Analysis
Sentiment Analysis
Statistical Analysis
Annotations