The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
We report on the development of a visual programming environment for building applications for execution on a range of parallel computing platforms. This work exploits the dataflo...
Interpreting general purpose programming constructs can be difficult because it requires context, such as knowledge of language syntax or idioms, which users may not have readily ...
We describe a system for gathering and analyzing Java trace data. The system provides relatively complete data collection from large Java systems. It also provides a variety of di...
This paper reports on user experience with Tioga, a DBMS-centric visualization tool developed at Berkeley. Based on this experience, we have designed Tioga-2 as a direct manipula...
Alexander Aiken, Jolly Chen, Michael Stonebraker, ...