Neo4j

moritzlukasscha · 12-17-2019

Hello, I am currently writing my thesis about customer analysis with Neo4j. One task is to predict churn, given an example dataset with customers, contracts, services and the info if a customer has churned or not. The example dataset (~7000 records i...

moritzlukasscha · 01-13-2020

Hey, the variable is defined in the MATCH-clause, but not in the WITH-clause. So something like WITH size((b)-[:classmate]->() ) AS others_classmates, size((a)-[:classmate]->() ) AS own_classmates, rel should work for you.

moritzlukasscha · 01-13-2020

You inserted a comma before your WHERE statement. If you remove it, it should work. So it should be like: MATCH (a:student)-[rel:classmate]->(b:student) WITH size((b)-[:classmate]->() ) AS others_classmates, size((a)-[:classmate]->() ) AS own_classma...

moritzlukasscha · 12-19-2019

Hi Alicia, I watched your webinar, it was really interesting, thanks a lot. So in the next step i'll try to run different graph algorithms on projections of the graph and analyze the results. I already tried the Jaccard Similarity algorithm and got s...

moritzlukasscha · 12-17-2019

Hi Elena, thanks for the welcome and your reply. Yes I've already looked at the link prediction algorithms but can't find a way to use them to predict the probability of a :Contract linking with the :Churn node in the future. (for example based on th...

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Which algorithm should I use to predict churn?

Re: Cut off unnecessary relationships

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