Kookmin University Holds Awards Ceremony for the 3rd AI Big Data Analysis Competition
- 25.12.29 / 전윤실
The awards ceremony for the 3rd Kookmin University AI Big Data Analysis Competition, jointly hosted by Kookmin University (President Jeong Seung Ryul) Graduate School of Business Adminstration (Dean Kim Do Hyeon) and the Korea Association of Machinery Industry (Chairman Cho Young Chul), was held on Monday, December 22nd at the Kookmin University College of Business Administration.
This competition aimed to develop AI models for identifying co-movement pairs among trade items and predicting the trade volume of trailing items. It proceeded through preliminary rounds from November 10 to November 28 and final rounds until December 8. A total of 1,701 teams competed fiercely to develop AI models that predict leading-trailing pairs with co-movement and forecast the next month's total trade volume for trailing items when co-movement is detected. Four teams (1 Grand Prize, 1 Excellence Prize, 2 Merit Prizes) were selected. Winners received certificates and monetary prizes.
The Grand Prize-winning team, Gyeongwon Team, stated that they focused on selecting significant comovement pairs as their core task. They combined various statistical tests, nonlinear filters, and stability island scores to build a comovement pipeline with high predictive power. They shared that the pair-wise learning of individual models (Local Models), optimized for the lead-lag structure, significantly contributed to achieving high scores compared to global models. They also noted that extensively testing various hypotheses about the model led to this award.
Kim Dong Yeol, Director of the Korea Association of Machinery Industry, delivered congratulatory remarks: “I extend my gratitude to all participants who tackled this challenging topic with a pioneering spirit. In an era where AI model development is essential for both government and institutions, this competition provided an opportunity to collaborate with experts, serving as a significant motivator for advancing Korea's machinery industry through artificial intelligence.” Dean Kim Do Hyeon of the Graduate School of Business Adminstration stated, “We are pleased that the Graduate School of Business Adminstration at Kookmin University, through this competition now in its third year, can provide a continuous platform for AI development needed in the field.” He added, “We will spare no effort in supporting the valuable ideas of many participants so they can be effectively applied in the field.”
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This content is translated from Korean to English using the AI translation service DeepL and may contain translation errors such as jargon/pronouns. If you find any, please send your feedback to kookminpr@kookmin.ac.kr so we can correct them.
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Kookmin University Holds Awards Ceremony for the 3rd AI Big Data Analysis Competition |
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The awards ceremony for the 3rd Kookmin University AI Big Data Analysis Competition, jointly hosted by Kookmin University (President Jeong Seung Ryul) Graduate School of Business Adminstration (Dean Kim Do Hyeon) and the Korea Association of Machinery Industry (Chairman Cho Young Chul), was held on Monday, December 22nd at the Kookmin University College of Business Administration.
This competition aimed to develop AI models for identifying co-movement pairs among trade items and predicting the trade volume of trailing items. It proceeded through preliminary rounds from November 10 to November 28 and final rounds until December 8. A total of 1,701 teams competed fiercely to develop AI models that predict leading-trailing pairs with co-movement and forecast the next month's total trade volume for trailing items when co-movement is detected. Four teams (1 Grand Prize, 1 Excellence Prize, 2 Merit Prizes) were selected. Winners received certificates and monetary prizes.
The Grand Prize-winning team, Gyeongwon Team, stated that they focused on selecting significant comovement pairs as their core task. They combined various statistical tests, nonlinear filters, and stability island scores to build a comovement pipeline with high predictive power. They shared that the pair-wise learning of individual models (Local Models), optimized for the lead-lag structure, significantly contributed to achieving high scores compared to global models. They also noted that extensively testing various hypotheses about the model led to this award.
Kim Dong Yeol, Director of the Korea Association of Machinery Industry, delivered congratulatory remarks: “I extend my gratitude to all participants who tackled this challenging topic with a pioneering spirit. In an era where AI model development is essential for both government and institutions, this competition provided an opportunity to collaborate with experts, serving as a significant motivator for advancing Korea's machinery industry through artificial intelligence.” Dean Kim Do Hyeon of the Graduate School of Business Adminstration stated, “We are pleased that the Graduate School of Business Adminstration at Kookmin University, through this competition now in its third year, can provide a continuous platform for AI development needed in the field.” He added, “We will spare no effort in supporting the valuable ideas of many participants so they can be effectively applied in the field.”
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