association rule is about predicting from subsets of co-occurring of past transactions/events.
How to predict sequence of revealed events/transactions based on past sequences of
events "association rule prediction"?
can anybody give any example problem of a predictive model of sequential event/transaction. That is
how to model both classification and sequential event prediction using association rules? Any example?
Hi Manojit,
Have a look at the following literature. Hope this will help you.
https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1149&context=scschcomdis
https://www.semanticscholar.org/paper/Sequential-Event-Prediction-with-Association-Rules-Rudin-Letham/c208124f45e0aecb33ac5de8b2fa3bbd5d2f8242
Hello Manojit Chattopadhyay
You can find the following links for your reference
Article Sequential Event Prediction with Association Rules
https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1149&context=scschcomdis
Dear A Ferrarini,
Thank you for the response.
It is a good idea still can you cite any literature of the proposed modeling?
Regards
In an experiment observing a parameter with an accepted value of VA and an observed value VO, there are two basic formulas for percent accuracy:
percent accuracy = (VA - VO)/VA X 100
percent accuracy = (VO - VA)/VA x 100
If the observed value is smaller than the accepted one, the second expression produces a negative number. It's easy to avoid this, but in some cases, negative values for percent accuracy can yield useful information.
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