Vagelis and Leman win ‘best paper’ awards in SDM’16
SIAM SDM is one of the top conferences in data mining. Specifically, Vagelis attracted the ‘best student paper award’, with his single-author paper on tensors
- Evangelos E. Papalexakis, Automatic Unsupervised Tensor Mining with Quality Assessment
There, Vagelis showed how to measure the goodness of a tensor decomposition, and how to automatically determine the correct rank of such a decomposition. Moreover, CMU/SCS alumna Prof. Leman Akoglu, and her student, attracted the ‘best paper runner-up award’ for their paper on anomaly detection
- Bryan Perozzi, Leman Akoglu, Scalable Anomaly Ranking of Attributed Neighborhoods
Congratulations, Vagelis and Leman!