What is Data Mining? It is a study about extracting knowledge from data. Data is everywhere, heterogeneous, and continuously increasing. For example, rapidly growing are Web data on the Internet, commercial data warehouses, biological data, scientific data, etc. Mining or extracting knowledge from such massive data is important but challenging: rich data but poor information is a common phenomenon in the real world. It has numerous applications in various domains and is still a largely open area.
Data mining tasks include prediction, classification, association rule mining, clustering, anomaly detection, ranking, etc.
Related fields are databases, machine learning, statistics, algorithms, pattern recognition, bioinformatics, etc. Our current research interests reside in Big Data Analytics, Social Network Analysis, Recommendation and Prediction, Support Vector Machines, Integration of Database and Machine Learning, and Biomedical Informatics.
MS-PhD, PostDoc OpeningIf you are interested in joining our lab as a MS/PhD student or PostDoc, please contact me by email (firstname.lastname@example.org) before you apply.Applications will not ...
Posted Feb 12, 2015, 6:55 PM by Hwanjo Yu
POSTECH won the best poster award at 2013 IEEE ICDE.Our paper, "Scalable and Parallelizable Processing of Influence Maximization for Large-Scale Social Networks", won the best poster award which was chosen out of 150 full and short papers. IEEE ...
Posted Oct 29, 2013, 4:28 PM by Hwanjo Yu