7.00.02 - Association Analysis - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Aster Analytics
Release Number
September 2017
Content Type
Programming Reference
User Guide
Publication ID
English (United States)
Last Update
Association Analysis Functions
Function Description
Basket_Generator Generates baskets (sets) of items that occur together in data records (typically transaction records or web page logs).
CFilter General-purpose collaborative filter. Helps discover which items or events are frequently paired with other items or events.
FPGrowth Uses an FP-growth algorithm to generate association rules from patterns in a data set and then determines their interestingness.
Recommender Functions The recommender functions include the following:

WSRecommender is an item-based, collaborative filtering function that uses a weighted-sum algorithm to make recommendations (such as items for users to consider buying).

KNNRecommenderTrain and KNNRecommenderPredict take a similar approach to WSRecommender, but attempt to increase prediction accuracy by adjusting for systematic biases and replacing heuristic calculations of similarity coefficients with a global optimization that simultaneously estimates all weights.