Behavioral Clustering in Big Data with Application in Super Customer Networks

Analyzing customer behavioral patterns and attrition aids organizations in understanding its core customers and improve its decision-making processes in regards to customer attrition and targeted marketing. In this research project, we will develop behavioural analytics super network models and algorithms for behavioural customer segmentation and attrition prediction in the presence of big data. Our models will help our partner organization develop better understanding of its customers and how to better manage their business relationships with them, thus solidifying its market position. At the same time contribute to the advancement of modelling and algorithm development in the new area of behavioural analytics with big data.

Faculty Supervisor:

Elkafi Hassini

Student:

Dewan Ferdous Wahid

Partner:

FreshBooks

Discipline:

Engineering - computer / electrical

Sector:

University:

McMaster University

Program: