In relation to web usage mining from a log file, can you cluster data without performing User and/or Session identification?
I mean,let's say I have these entries:
123.234.324.122 [timestamp] "GET /cars/sport/porsche.jpg" 200 23432 "http://topgear.com/cars" "Mozilladsfsd"
120.23.324.122 [timestamp] "GET /bikes/sport/r1.jpg" 200 23432 "http://topgear.com/cars" "Mozilladsfsd"
13.234.324.122 [timestamp] "GET /cars/utility/micra.jpg" 200 23432"http://topgear.com/cars" "Mozilladsfsd"
So,in this scenario, I just need to cluster based on which cars have been viewed more frequently etc etc..Do I need user identification and session identification then? Or can I just consider the URLs and cluster on them?
Because as far as the traditional Web Usage Mining approach goes and all the papers I've gone through suggest, you do preprocessing,then the pattern-discovery comes along..
My question is why not jump to the pattern discovery straight-away????