Tenth Consecutive Year for HKU Master’s Students to Innovate Using SAS® Software
Hong Kong (June 23, 2015)
SAS, the leader in business analytics and services, and the Department of Statistics and Actuarial Science of the University of Hong Kong today announced the winning teams of the Innovative Data Mining Application Awards. This is the tenth consecutive year the world’s largest privately owned software company has sponsored the local University with the data mining awards, and provided data mining software to the department for nurturing high caliber professionals in the analytics landscape.
The Innovative Data Mining Application Awards 2015 invited students from the Master’s program of the Department of Statistics and Actuarial Science to submit proposals using scientific analytic tools to analyze data collected in different aspects, such as sports, food & beverage, social media and marketing skills, to address real-life issues.
The project “Star Miners”, developed by JIN Zhe, PAN Yuxing and SHE Shichang, was selected as the champion of the competition. Their creativity in applying data mining to NBA talent selection was highly regarded by the judges. The first runner-up goes to the project done by Cheung Chi Hin, Cheung Sek Yuen Martin, Kwan Ming Tsun and Lam Wing Yin, which aims to leverage on data mining to help customers with wine selection. The second runner-up goes to two teams, one of them made up of Cheung Kai Chun, Huang Jia Jie and Yip Ka Man, which studied food photo shooting patterns and posting habits of Hong Kong Instagram users, and the other formed by Cheung Wing Chung Vinci, Lau Kwok Piu and Lo Sze Nok Johnathan, which developed a predictive model to support effective bank telemarketing. All of these winning projects serve to prove the power of analytics and provide new insights to appreciate daily life phenomena from a data analytics perspective.
Officiating at the award ceremony, Wilson Ho, General Manager, SAS Hong Kong, said, “It is once again our great pleasure to sponsor these awards and provide SAS software to the Department of Statistics and Actuarial Science at the University of Hong Kong, to support this meaningful award and provide an opportunity for talented students to unleash their creativity in undertaking data mining projects with the use of our advanced software. I am impressed by all of the winning projects this year in terms of their creativity and positive impacts on our everyday lives.”
Dr. Philip Yu, Associate Professor of the University of Hong Kong’s Department of Statistics and Actuarial Science, also recognized the achievement of the students and SAS’s contribution at the ceremony: “It is delightful to see students making good and ingenious use of the data available in daily life, and turning them into innovative and valuable insights. They have truly demonstrated outstanding ideas in the application of data analytics in our daily life. I am also pleased to share a similar vision of education with SAS. The department highly appreciates SAS Hong Kong for their generous support of these course projects over the years.”
SAS remains committed to supporting educational institutes so that students can have the greatest opportunity to develop their potential, especially in advancing their career aspirations in analytics and data science. As part of an established initiative to support students with mathematical and statistical abilities in developing their careers and preparing them to meet industry demands, it is one of the core focuses of SAS Corporate Social Responsibilities in committing efforts and resources to the education sector.
The Department of Statistics and Actuarial Science of the University of Hong Kong has been offering the Data Mining Techniques course for the Master of Statistics Program since 2003. Students are taught with real-life examples enabling them to apply their acquired knowledge in the workplace. Toward the end of each academic year, students are assigned a group project, allowing them to demonstrate data mining skills with the use of SAS tools. The Innovative Data Mining Application Award has recognized talented students' projects in the SAS® Enterprise Miner course since 2006.
Appendix: Innovative Data Mining Application Award 2015 Winners
|Ranking||Name of team, team members ||Name of project||About the project|
|First Place||Star Miners|
|Data Mining Application in NBA Talent Selection for Rising Stars||Star Miners created a statistical model using data mining methodology for NBA teams to identify promising young players in the early years of their careers.|
|Second Place||Wine Wine Tell Me Why|
Cheung Chi Hin
Cheung Sek Yuen Martin
Kwan Ming Tsun
Lam Wing Yin
|What are the key elements of a bottle of good wine?||This project gathers samples of different wine attributes to conduct analyses from different perspectives, helping customers choose their wine.|
|Third Place||Camera Eats First|
Cheung Kai Chun
Huang Jia Jie
Yip Ka Man
|A Study of Food Photo Shooting Patterns and Posting Habits of Hong Kong Instagram Users||Nowadays, one of the most popular items that people like to share is food. Many companies hire food bloggers to help them promote their restaurants or food. The study investigates the food shooting patterns and the factors to gain social engagement in Instagram.|
|Third Place||Dig Data|
Cheung Wing Chung Vinci
Lau Kwok Piu
Lo Sze Nok Johnathan
|Make A Good Call – How to Achieve Effective Bank Telemarketing?||Dig Data aims at creating the best predictive model to classify potential term deposit applicants, identify the attributes most influencing a client’s decision for subscribing to a term deposit scheme, and develop effective telemarketing strategies.|
Under the sponsorship of SAS Hong Kong, the winning teams for first place, second place and third place (two winners) were awarded a total of HKD5,000, HKD3,000 and HKD2,000, respectively, in cash prizes.
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