What Does Apache Mahout Do?

1.	What Does Apache Mahout Do?
Answer» Mahout supports four main data science use cases: Collaborative filtering – mines user behavior and makes product recommendations (e.g. Amazon recommendations). Clustering – takes items in a particular class (such as web PAGES or newspaper articles) and organizes them into NATURALLY occurring groups, such that items belonging to the same group are similar to each other. Classification – LEARNS from existing categorizations and then ASSIGNS unclassified items to the best category. Frequent item-set mining – analyzes items in a group (e.g. items in a shopping CART or terms in a query session) and then identifies which items typically appear together. Mahout supports four main data science use cases:

Answer»

Mahout supports four main data science use cases:

Collaborative filtering – mines user behavior and makes product recommendations (e.g. Amazon recommendations).
Clustering – takes items in a particular class (such as web PAGES or newspaper articles) and organizes them into NATURALLY occurring groups, such that items belonging to the same group are similar to each other.
Classification – LEARNS from existing categorizations and then ASSIGNS unclassified items to the best category.
Frequent item-set mining – analyzes items in a group (e.g. items in a shopping CART or terms in a query session) and then identifies which items typically appear together.

Mahout supports four main data science use cases:

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