I'm working on a way to give predict/generate a set of possibly associated skills for a given skill/technology. I've done some research and I've found that ARM algorithms are the closest thing to a solution for my problem. My question is how can I exploit the results of Apriori algorithm in order to predict the set of skills associated to a possible input (one skill)? Is there a better way than this approach?
Much thanks.
Dear Chaimaa,
The following relevant papers can help you:
(1)
Suba, S., & Christopher, T. (2012). A study on milestones of association rule mining algorithms in large databases. International Journal of Computer Applications, 47(3), 12-19.
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.258.9148&rep=rep1&type=pdf
(2)
Usha, D., & Rameshkumar, K. (2014). A complete survey on application of frequent pattern mining and association rule mining on crime pattern mining. International Journal of Advances in Computer Science and Technology, 3(4).
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.644.2331&rep=rep1&type=pdf
(3)
Yildirim, P., Birant, D., & Alpyildiz, T. (2017). Discovering the relationships between yarn and fabric properties using association rule mining. Turkish Journal of Electrical Engineering & Computer Sciences, 25(6), 4788-4804.
https://www.semanticscholar.org/paper/Discovering-the-relationships-between-yarn-and-rule-Yildirim-Birant/c79ded2a7f7815a6fdb755e29580af01c727f746?p2df
Best regards,
Yaakov
Dear Chaimaa,
By using FP tree (FP Growth algorithm), you can get the frequent patterns, from these frequent pattern you can use any other algorithm to get the association rules.
Best regards,
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