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. For this reason, data mining has been extensively exploited for the last decade. It has 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, pattern recognition, bioinformatics, health informatics, etc.

Our research interests include ranking, support vector machines, integration of DBMS and machine learning, information retrieval, mining text and Web documents, stream data mining, mining spatial and moving data, and mining biological and medical data.