David A. Cieslak, Ph.D.
Affiliations: | 2009 | University of Notre Dame, Notre Dame, IN, United States |
Area:
Computer ScienceGoogle:
"David Cieslak"Parents
Sign in to add mentorNitesh Chawla | grad student | 2009 | Notre Dame | |
(Finding problems in, proposing solutions to, and performing analysis on imbalanced data.) |
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Publications
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Regola N, Cieslak DA, Chawla NV. (2013) The need to consider hardware selection when designing big data applications supported by metadata Big Data Management, Technologies, and Applications. 381-396 |
Regola N, Cieslak DA, Chawla NV. (2012) The constraints of magnetic versus flash disk capabilities in big data analysis Acm International Conference Proceeding Series. 4-9 |
Cieslak DA, Hoens TR, Chawla NV, et al. (2012) Hellinger distance decision trees are robust and skew-insensitive Data Mining and Knowledge Discovery. 24: 136-158 |
Liu W, Chawla S, Cieslak DA, et al. (2010) A robust decision tree algorithm for imbalanced data sets Proceedings of the 10th Siam International Conference On Data Mining, Sdm 2010. 766-777 |
Cieslak DA, Chawla NV. (2009) A framework for monitoring classifiers' performance: When and why failure occurs? Knowledge and Information Systems. 18: 83-108 |
Chawla NV, Thain D, Lichtenwalter R, et al. (2008) Data mining on the grid for the grid Ipdps Miami 2008 - Proceedings of the 22nd Ieee International Parallel and Distributed Processing Symposium, Program and Cd-Rom |
Cieslak DA, Chawla NV. (2008) Start globally, optimize locally, predict globally: Improving performance on imbalanced data Proceedings - Ieee International Conference On Data Mining, Icdm. 143-152 |
Cieslak DA, Chawla NV, Thain DL. (2008) Troubleshooting thousands of jobs on production grids using data mining techniques Proceedings - Ieee/Acm International Workshop On Grid Computing. 217-224 |
Chawla NV, Cieslak DA, Hall LO, et al. (2008) Automatically countering imbalance and its empirical relationship to cost Data Mining and Knowledge Discovery. 17: 225-252 |
Cieslak DA, Chawla NV. (2008) Learning decision trees for unbalanced data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5211: 241-256 |