Apriori-Algo

[Hansauto]

HI Everyone

Could someone please help me with this taks?
Task: A transaction data set is used to analyse customer behaviour.
customer behaviour is to be analysed. Proceed according to the CRISP model
model, analyse the data descriptively and exploratively and
use the Apriori algorithm.

purchaseList.csv (764.1 KB)

[mlauber71]

@Hansauto here are some examples of rule detection algorithms. Based on transactions.

Association Rules/Market Basket Analysis Dataset

@Sarah_Dunn you could check these examples and see if they can help you Then there is this blog and examples

You could also check this example (maybe improve using ChatGPT).

Often bought with from Sales File

Hi, thanks everyone for the great suggestions! I eventually decided to use Python instead of KNIME, since this was much easier for me. The code below gives the ArticleNrs of up to six (could be less) ArticleNrs that have been bought together with the initial article, but at least twice together, to get rid of some outliers or articles that have little sales. The part until df.dot gives a matrix of all sales, so rows and columns are ArticleNrs and the cells are how often they have been sold tog…