i want you to make small research about Kano model and it is integration with data mining to select most important attributes effect customer satisfaction
compare feature selection using machine learning with kano
compare kano with other slimier techniques so this include
To predict the customer satisfaction using data mining techniques.
To select the most important attributes that affect customer satisfaction using different data mining selection [login to view URL] run the prediction method to compare the performance
Use Kano model to categorize attributes under the 5 Kano categories of customer requirements.
To compare the Kano model attribute categorization with attributes selected by feature selection. Also how to relate those two approaches to each other.
As a guru in Python and Neural nets, I wish to express my interest for this project. Please note I have 10+ years experience. I'd be happy to hear more details in chat. KR.