Title :
Evaluating the success level of data mining projects based on CRISP-DM methodology by a Fuzzy expert system
Author :
Nadali, Ahmad ; Kakhky, Elham Naghizadeh ; Nosratabadi, Hamid Eslami
Author_Institution :
Sci. & Res. Branch, Dept. of Inf. Technol. Manage., Islamic Azad Univ., Tehran, Iran
Abstract :
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.
Keywords :
banking; data mining; expert systems; fuzzy reasoning; mathematics computing; CRISP-DM methodology; Iranian Bank; MATLAB software; data mining projects; fuzzy expert system; fuzzy inference system model; Analytical models; Business; Data mining; Data models; Delta modulation; Expert systems; Fuzzy systems; CRISP-DM Methodology; Data Mining Projects; Fuzzy Expert System;
Conference_Titel :
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4244-8678-6
Electronic_ISBN :
978-1-4244-8679-3
DOI :
10.1109/ICECTECH.2011.5942073
