The Knowledge Discovery Laboratory (KDL) is a research group in the School of Computer Science at the University of Massachusetts Amherst. KDL investigates how to find useful patterns in large and complex databases. We study the underlying principles of data analysis algorithms, develop innovative techniques for knowledge discovery, and apply those techniques to practical tasks in areas such as fraud detection, scientific data analysis, and web mining.
KDL’s current research focuses on relational knowledge discovery — constructing useful statistical models from data about complex relationships among people, places, things, and events. Our Proximity software is the primary experimental platform for our research. New developments in this area are vital because of the growing interest in mining huge data sets drawn from the Web, telecommunications networks, relational databases, object-oriented databases, and other sources of structured and semi-structured data.