David Cieslak
David Cieslak
VP of Predictive Modeling
Bestätigte E-Mail-Adresse bei aunalytics.com
Titel
Zitiert von
Zitiert von
Jahr
Learning decision trees for unbalanced data
DA Cieslak, NV Chawla
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
2862008
Automatically countering imbalance and its empirical relationship to cost
NV Chawla, DA Cieslak, LO Hall, A Joshi
Data Mining and Knowledge Discovery 17 (2), 225-252, 2008
2552008
Combating imbalance in network intrusion datasets.
DA Cieslak, NV Chawla, A Striegel
GrC, 732-737, 2006
2052006
Hellinger distance decision trees are robust and skew-insensitive
DA Cieslak, TR Hoens, NV Chawla, WP Kegelmeyer
Data Mining and Knowledge Discovery 24 (1), 136-158, 2012
2012012
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
1572010
A framework for monitoring classifiers’ performance: when and why failure occurs?
DA Cieslak, NV Chawla
Knowledge and Information Systems 18 (1), 83-108, 2009
822009
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
782008
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
642008
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
302008
Detecting fractures in classifier performance
DA Cieslak, NV Chawla
Seventh IEEE International Conference on Data Mining (ICDM 2007), 123-132, 2007
262007
Evaluating probability estimates from decision trees
NV Chawla, DA Cieslak
American Association for Artificial Intelligence, 2006
232006
Short paper: Troubleshooting distributed systems via data mining
DA Cieslak, D Thain, NV Chawla
Proceedings of the 15th IEEE International Symposium on High Performance …, 2006
172006
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
132008
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
102008
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
102008
Condor log analyzer
D Thain, D Cieslak, N Chawla
42009
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
42005
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
22014
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
12012
Finding problems in, proposing solutions to, and performing analysis on imbalanced data
DA Cieslak
University of Notre Dame, 2009
12009
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