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 include Big Data Analysis on the Cloud, Social Network Analysis, Recommendation and Prediction, Support Vector Machines, Integration of Database and Machine Learning, and Biomedical Informatics.