I've with me 50 MB data from a machine consisting of event logs such as device status, warning and error. I wish to perform text mining on the same to find correlation between errors i.e. one error could trigger another in future and take a prescriptive action on it. I've used hierarchical clustering in R to generate a dendrogram but the result couldn't yeild expected insight. Hence, I've planned to perform Apriori Algorithm on the same. My queries are:
- Is Hierarchical Clustering suggested to find such correlations?
- Is Apriori an apt algorithm in such situation and why? Or, is there any other approach to solve this problem?
The logs that I've looks like this :