Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
We study small distributed work groups capturing, managing, and reusing knowledge in a collaborative activity. We conceive this process as adaptation of a group to an activity and...
Gregorio Convertino, Thomas P. Moran, Barton A. Sm...
Portable, embedded systems place ever-increasing demands on high-performance, low-power microprocessor design. Dynamic voltage and frequency scaling (DVFS) is a well-known techniq...
Wonyoung Kim, Meeta Sharma Gupta, Gu-Yeon Wei, Dav...