Welcome to Data Mining Laboratory in the Department of Computer Science and Engineering at Seoul National University. Our research interests lie in big data mining which aims to find models, algorithms, and systems for scalable data analysis with applications on knowledge discovery, learning, and anomaly detection. Specifically, we focus on the following research topics: deep learning & scalable machine learning, recommendation system, big graph mining, big tensor mining, online stream mining, and anomaly/fraud detection.
Postdoctoral researcher Ha-Myung Park will join Kookmin University as an Assistant Professor, starting from March 1st, 2019. Congraturations!
Prof. Kang won the Most Impacted Paper Award (10-year highest impact paper award) from IEEE International Conference on Data Mining (ICDM). The award is given to the highest impacted paper in the area of Data Mining for the last 10 years. Congratulations!
A paper is accepted to CIKM 2018, a top tier data mining conference. The paper "Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range" proposed an algorithm which extracts key patterns of multiple time series data in an arbitrary time range.
Ph.D. student Jinhong Jung won the BK21 Plus Excellent Research Award. BK21 Plus Excellent Research Award is given to excellent graduate students in the Engineering area. Congratulations!
B.S. student Sejoon Oh won the HumanTech award (gold, 1st in Computer Science) from Samsung, from his paper "Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries". M.S/Ph.D. student Jun-gi Jang also won the Humantech award (honorable mention, 4th in Computer Science), from his paper "Fast and Memory-Efficient Method for Time Ranged Singular Value Decomposition". HumanTech award is given to best papers in the engineering area, and it is the most prestigious award among such kind in Korea. Congratulations!