End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can cr...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
Background: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. Results: We deve...
Large software systems are modularized in order to improve manageability. The parts of the software system communicate in order to achieve the desired functionality. To better und...
Daniel Oberle, Steffen Lamparter, Stephan Grimm, D...
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
Active database management systems have been developed for applications needing an automatic reaction in response to certain events. Events can be simple in nature or complex. Com...