KNIME_ejRegAsoc
Generating artificial association rules into existing shopping baskets
This workflows takes an existing set of shopping baskets. These baskets are provided via a basket ID + each of the product ID.
First, the support of apple, chips and gummi bears is increased, to get a sufficient support for our rule.
Next, the rule is inserted by increasing the confident of the rule. This is realized by inserting gummi bears into baskets where apple and chips are already found.
Finally the new rules are validated in the Association Rule Learner node.
URL: Description of the modular data generation plugin https://www.knime.org/the-new-iris-data-modular-data-generators
URL: Paper about the data generation plugin https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/AdBe10.pdf
Nodes
- Rule Engine13 ×
- Row Filter2 ×
- Association Rule Learner1 ×
- Create Collection Column1 ×
- Concatenate1 ×
- Excel Reader1 ×
- One to Many1 ×
- Python Script1 ×
- Sorter1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Excel Support
- FeatureKNIME Javasnippet
- FeatureKNIME Python Integration
Links
- No links available