David Cieslak
David Cieslak
VP of Predictive Modeling
Verified email at
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Learning decision trees for unbalanced data
DA Cieslak, NV Chawla
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
Combating imbalance in network intrusion datasets.
DA Cieslak, NV Chawla, A Striegel
GrC, 732-737, 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
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
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
A framework for monitoring classifiers’ performance: when and why failure occurs?
DA Cieslak, NV Chawla
Knowledge and Information Systems 18 (1), 83-108, 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
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
Evaluating probability estimates from decision trees
NV Chawla, DA Cieslak
American Association for Artificial Intelligence, 2006
Detecting fractures in classifier performance
DA Cieslak, NV Chawla
Seventh IEEE International Conference on Data Mining (ICDM 2007), 123-132, 2007
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
Short paper: Troubleshooting distributed systems via data mining
DA Cieslak, D Thain, NV Chawla
High Performance Distributed Computing, 2006 15th IEEE International …, 2006
Analyzing pets on imbalanced datasets when training and testing class distributions differ
D Cieslak, N Chawla
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 519-526, 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
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
Condor log analyzer
D Thain, D Cieslak, N Chawla
May, 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
An optimized NL2SQL system for Enterprise data Mart
K Dong, K Lu, X Xia, D Cieslak, NV Chawla
Joint European conference on machine learning and knowledge discovery in …, 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
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
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