Evaluating the success level of data mining projects based on CRISP-DM methodology by a Fuzzy expert system
Ahmad Nadali, Elham Naghizadeh Kakhky, Hamid Eslami Nosratabadi · 2011
One of the critical issues in data mining process especially for organizations is evaluating the success level of performed data mining projects. The purpose of this research is designing a Fuzzy expert system for the evaluation of success level of data mining projects based on quality of CRISP-DM methodology phases as one of the famous data mining methodologies. Here the CRISP-DM phases are specified as inputs of Fuzzy Inference System (FIS) model and the output is the success level of data mining project. This system has been designed by MATLAB software and has been implemented for a data mining project in an Iranian Bank as empirical study.