Questions about customer clustering/segmentation
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Altair Employee'Generate Attribute' operator is your good friend, to achieve your goal 'to give the customers with following features a higher rate (weight)'
you can create several indicator attributes, for instance, to tag the customers who has any more than one transactions,
attribute name function expression
AnyTransaction if(Number of transactions>1, 1,0)
You can refer to the tutorial process for Generate Attribute, and get inspired by the example function expressions.
Happy RapidMining!
Altair Employee'Generate Attribute' operator is your good friend, to achieve your goal 'to give the customers with following features a higher rate (weight)'
you can create several indicator attributes, for instance, to tag the customers who has any more than one transactions,
attribute name function expression
AnyTransaction if(Number of transactions>1, 1,0)
You can refer to the tutorial process for Generate Attribute, and get inspired by the example function expressions.
Happy RapidMining!
Dear Franzi,
my key question for you is: Do you want to classify/cluster by your own rules or by computer generated rules based on statistical reasoning?
In rapidminer we got a lot of operators which group customers together by their attributes. They find the rules for the grouping which are the best - given some statistical measure. Most likely they will be similar to the groups you had in mind, but not necessarly.
The operators for this would be: K-Means, K-Medoids, DBScan or maybe Agglomerative Clustering. Please be aware that all of those operators use a distance measure and thus need normalized data. You can normalize your data with teh Normalize operator.
Best,
Martin