Category: KNIME Nodes

KN-131 Market Basket Analysis

Demonstrates how to perform Market Basket Analysis using Borgelt’s Association Rule Learner. Analyzes 10,000 Customer Baskets from a supermarket with 48 Products across 10 Categories. Generates sub-Basket rules that can more accurately determine recommendations than simple Product-pairs. Selects the best recommendations that maximize supermarket Revenue.

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KN-301 Simple Demand Forecasting Neural Networks

Compares the Keras Layer Nodes against the DL Python nodes. Builds four models which attempt to predict future sales. Two models predict “Today’s Sales” (which are already known to the model). The other two models predict “Tomorrow’s Sales” which correlate to the sales from the same-day-last-week. Viewing the node weights show how the models identify the most useful inputs.

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