Options
semi-supervised in rapid miner
Contributor I
Hi
My thesis subject is customer behavior modeling by semi-supervised learning in customer relationship management.
My dataset contained 1000 records of customers and training data was divided into labeled and unlabeled records of 300 and 700 respectively.
I want train a classifier h with training data labeled(300 records)
then classify data(Clustering) in Unlabeled( 700 records) with h
so, find subset U' of Unlabeled data with most confidence scores.
Can I performed above process with Rapid Miner?
Please tell me how can I performed that?
Thank you
Siavash Emtiyaz
My thesis subject is customer behavior modeling by semi-supervised learning in customer relationship management.
My dataset contained 1000 records of customers and training data was divided into labeled and unlabeled records of 300 and 700 respectively.
I want train a classifier h with training data labeled(300 records)
then classify data(Clustering) in Unlabeled( 700 records) with h
so, find subset U' of Unlabeled data with most confidence scores.
Can I performed above process with Rapid Miner?
Please tell me how can I performed that?
Thank you
Siavash Emtiyaz
0
