Pattern Recognition and Its Application in Customers’ Family Composition Detection

Rogers Communications, a diversified communications and media company, wanted to investigate the kinds of strategies that it should employ to attract new customers and meet customer demands thus maintaining a profitable market share. To develop these strategies, the client needed new efficient tools that could extract useful patterns, which was representative of actual customer behaviour, from the company's data warehouses. The team explored the structure of the company's data sets, identifying available data mining tools as well as designing new, efficient algorithms and validating the proposed approaches.

Faculty Supervisor:

Dr. Jiming Peng

Student:

Huarong Chen

Partner:

Rogers Communication

Discipline:

Computer science

Sector:

Information and communications technologies

University:

McMaster University