Coming to the sixteenth year, the Department of Management Sciences (MS) has been collaborating with SAS Hong Kong, an industry leader in analytics, business intelligence and data management software and services, to provide MS students free access to the latest SAS software and resources. From 2011 onwards, SAS has been generously sponsoring the Data Mining Challenge Award, to recognise the best student projects in data mining, which effectively discover business insights from data analysis.
In the Data Mining Award 2016 Presentation Ceremony, which was held on 25th February, the award winning teams shared the achievements of their projects.
The Champion team “LOL” , working on data mining for a streaming movie company, consisted of BBA Business Analysis graduates, Hanson Chiu Shing-wui, Shun-yu Law, Son-chi Leong, Ching-ying Wong and Wing-yan Yip.
Hanson shared the project concept, “We have created a movie recommendation system that applies sequential analysis and path analysis to predict customers’ next movie preference. By analysing the data collected, ultimately, the solution hopes to recommend more preferred choices for the movie lovers.”
The other two award-winning projects are:
First Runner-up: “Minions”
- A strategic customer analysis for an online travel agency
Second Runner-up: “LT-401”
- An analysis of LT401 bank loan services and customer segmentation
Dr Iris Yeung Miu-han, Associate Professor of the Department of Management Sciences and Major Leader of BBA Business Analysis, said, “The Data Mining Challenge hopes to recognise the great project work from the students who have taken the core course “Enterprise Data Mining”. Through practical coursework, we hope that our students are trained with strong analytical and software skills and be well-prepared for their future careers.”
Also attended the ceremony and presented the prizes to the students were Prof Frank Chen Youhua, Head and Chair Professor of the Department of Management Sciences, and Prof Kelvin Yau Kai-wing, Associate Dean of School of Graduate Studies, CityU, and Ms Joey Fong from the SAS Institute Ltd.