I have a dataset on broadband usage and bills for a set of customers for an year. For every metric, like Upload usage, I have 12 values corresponding to each month. Below are the columns and the format.
CustomerId,Upload_Jan,Upload_Feb...Upload_Dec, Download_Jan,Download_Feb....Download_Dec, bill_Jan....bill_Dec
The values in all columns are continuous. I want to see if there are some sequences appearing in the data frequently.
- Can we do sequential mining on continuous data set?
- Is it mandatory to bin each column to separate bins? How to decide the number of bins?
- What is the best way of pre processing the data set for tools like
SPMFwhich requires transactionized data?
I looked at
TraMineR package in R and wrote a few scripts, but I could not make out much from the sequences generated.