An enhanced Customer Relationship Management classification framework with Partial Focus Feature Reduction

Authors:
Yan Tu;Zijiang Yang
Affiliations:
School of Information Technology, York University, Toronto, Ontario, Canada;School of Information Technology, York University, Toronto, Ontario, Canada
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

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Abstract

Effective data mining solutions have for long been anticipated in Customer Relationship Management (CRM) to accurately predict customer behavior, but from various industry research and case studies we have observed sub-optimal CRM classification models due to inferior data quality inherent to CRM data set. In this paper, one type of CRM data with a distinctive distribution pattern of Reduced Dimensionality is discussed. A new classification framework termed Partial Focus Feature Reduction is proposed to resolve CRM data set with Reduced Dimensionality using a collection of efficient data mining techniques characterizing a specially tailored modality grouping method to significantly improve data quality and feature relevancy after preprocessing, eventually achieving excellent classification performance with the right combination of classification algorithms.