| Learning decision trees for unbalanced data DA Cieslak, NV Chawla Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 349 | 2008 |
| Combating imbalance in network intrusion datasets. DA Cieslak, NV Chawla, A Striegel GrC, 732-737, 2006 | 324 | 2006 |
| Automatically countering imbalance and its empirical relationship to cost NV Chawla, DA Cieslak, LO Hall, A Joshi Data Mining and Knowledge Discovery 17, 225-252, 2008 | 301 | 2008 |
| Hellinger distance decision trees are robust and skew-insensitive DA Cieslak, TR Hoens, NV Chawla, WP Kegelmeyer Data Mining and Knowledge Discovery 24, 136-158, 2012 | 273 | 2012 |
| A robust decision tree algorithm for imbalanced data sets W Liu, S Chawla, DA Cieslak, NV Chawla Proceedings of the 2010 SIAM International Conference on Data Mining, 766-777, 2010 | 194 | 2010 |
| A framework for monitoring classifiers’ performance: when and why failure occurs? DA Cieslak, NV Chawla Knowledge and Information Systems 18 (1), 83-108, 2009 | 100 | 2009 |
| Start globally, optimize locally, predict globally: Improving performance on imbalanced data DA Cieslak, NV Chawla 2008 Eighth IEEE International Conference on Data Mining, 143-152, 2008 | 94 | 2008 |
| RIPPS: Rogue identifying packet payload slicer detecting unauthorized wireless hosts through network traffic conditioning CD Mano, A Blaich, Q Liao, Y Jiang, DA Cieslak, DC Salyers, A Striegel ACM Transactions on Information and System Security (TISSEC) 11 (2), 1-23, 2008 | 68 | 2008 |
| Evaluating probability estimates from decision trees NV Chawla, DA Cieslak American Association for Artificial Intelligence, 2006 | 30 | 2006 |
| Troubleshooting thousands of jobs on production grids using data mining techniques DA Cieslak, NV Chawla, DL Thain 2008 9th IEEE/ACM International Conference on Grid Computing, 217-224, 2008 | 29 | 2008 |
| Detecting fractures in classifier performance DA Cieslak, NV Chawla Seventh IEEE International Conference on Data Mining (ICDM 2007), 123-132, 2007 | 29 | 2007 |
| Short paper: Troubleshooting distributed systems via data mining DA Cieslak, D Thain, NV Chawla High Performance Distributed Computing, 2006 15th IEEE International …, 2006 | 17 | 2006 |
| Analyzing pets on imbalanced datasets when training and testing class distributions differ D Cieslak, N Chawla Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008 | 13 | 2008 |
| Using selective, short‐term memory to improve resilience against DDoS exhaustion attacks Q Liao, DA Cieslak, AD Striegel, NV Chawla Security and Communication Networks 1 (4), 287-299, 2008 | 10 | 2008 |
| Data mining on the grid for the grid NV Chawla, D Thain, R Lichtenwalter, DA Cieslak 2008 IEEE International Symposium on Parallel and Distributed Processing, 1-5, 2008 | 9 | 2008 |
| Condor log analyzer D Thain, D Cieslak, N Chawla | 5 | 2009 |
| Simulation of Chicken-limb Growth with Irregular Domain Shape K Aras, T Cickovski, D Cieslak, C Huang Dept. of Computer Science and Engineering, University of Notre Dame, 2005 | 4 | 2005 |
| An optimized NL2SQL system for Enterprise data Mart K Dong, K Lu, X Xia, D Cieslak, NV Chawla Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 3 | 2021 |
| The need to consider hardware selection when designing big data applications supported by metadata N Regola, DA Cieslak, NV Chawla Big Data Management, Technologies, and Applications, 381-396, 2014 | 2 | 2014 |
| The constraints of magnetic versus flash disk capabilities in big data analysis N Regola, DA Cieslak, NV Chawla Proceedings of the 2nd Workshop on Architectures and Systems for Big Data, 4-9, 2012 | 1 | 2012 |
