Rule Learner allows business analysts to place their historical data records in two simple Excel tables and automatically generate classification rules based on the provided data. The generated rules will be presented in the user-friendly decision table in an Excel file that can be downloaded to a user's machine. A user may select different Machine Learning algorithms and try various data sets to generate rules of sufficiently good accuracy. Examples of data tables and the rules generation mechanisms can be found at http://RuleLearner.com
Highlights
Discover business rules capable to classify new data records based on already classified historical records
Use different Machine Learning algorithms to generate classification rules in a user-friendly decision table format
Allows subject matter experts to use Machine Learning without forcing them to become data science or programming gurus
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Rule Learner uses a single usage-based pricing dimension. You pay per execution, where one execution generates classification rules from your historical data. There are no tiers, instance sizes, or add-ons to choose from. Your cost scales directly with how many times you run the tool. Each run is billed as one unit, so the more executions you request, the more you pay.
Top-of-mind questions for buyers
What counts as one execution of Rule Learner for billing?
One execution is a single run of Rule Learner that generates classification rules from your historical data. Each run counts as one billable unit. Running the tool again to produce another set of rules counts as a second execution, and so on.
Does the cost change based on how much data I process in one run?
No. Billing is tied to the number of executions, not the size of your dataset. A single run counts as one unit whether you feed it a small or large set of historical records. Your cost changes only when you run the tool more times.
What does Rule Learner produce that I am paying for per execution?
Each execution extracts business rules from historical data and generates classification rules you can use in decision models. You pay for the act of running the tool to produce that rule set, regardless of how you later deploy or use the resulting rules.
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