The KDD CUP 2018 sponsored by the Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD) came to an end. The team consisting of Luo Binli and Jiang Haoran from CSU and other students from Beijing University of Posts and Telecommunications won the championship at this event.
The topic of KDD CUP 2018 is to predict the air quality of Beijing and London. Competitors was supposed to predict the air quality in the next two days based on the past weather data and their predictions would be scored according to the actual weather data 48 hours later.
Through research on related knowledge on air quality monitoring and with overall consideration of the factors that influence the air quality of different cities, the members of the CSU team established and continuously corrected a three-dimensional characteristic group focusing on the time domain, space domain, frequency domain and know-how to monitor air quality. Eventually they received success in the competition.
Luo Binli, a sophomore of the School of Software, is the youngest participator in KDD CUP. After the competition, he thanked CSU, the School of Software and his teachers for their strong support and careful guidance. Jiang Haoran, a master candidate in his first year in the School of Business, expressed his hope to make contributions to the interdisciplinary field.
KDD CUP, an annual data mining competition that is sponsored by ACM SIGKDD and has a history of 21 years, is so far the most influential and the highest-level international competition in the data mining field. Having attracted top experts, scholars, engineers and students in the data mining field from all over the world, the competition is praised as the “Olympic Games” of the data mining field. The competition this year has totally attracted 4,183 teams from over 3,000 schools or institutions in 49 countries and regions, including Harvard University, Massachusetts Institute of Technology, University of Cambridge, Stanford University, Tsinghua University, Peking University, Central South University and Beijing University of Posts and Telecommunications.
Source: School of Software