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Type of Knowledge Discovery

Two kinds of knowledge discovery. i. Directed, ii. Undirected

Directed knowledge discovery is like aiming for a target or specific answer, while undirected knowledge discovery is more about exploring and finding interesting connections without a specific goal in mind.



Directed Knowledge Discovery

Purpose: This type is like having a specific goal in mind. We want to understand how one thing relates to others. (Goal Oriented).

Method: We start with a question or a hypothesis about the data. Then, we use algorithms to analyze the data and find answers or predictions.

Example:

  • Which products sell more when we offer discounts on phone cases?
  • What kind of ad should we show to someone visiting our website?



Undirected Knowledge Discovery

Purpose: Here, we're not looking for specific answers. Instead, we're searching for interesting patterns in the data, even if we don't have a particular question in mind. (Non target field)

Method: We use techniques like clustering or grouping to find similarities or connections between different pieces of data.

Example:

  • Which items from our collection are commonly purchased together?
  • Find group of customers/users with similar characteristics or behavioral patterns.