| 2009 |
|---|
| 11 | EE | David A. Cieslak,
Nitesh V. Chawla:
A framework for monitoring classifiers' performance: when and why failure occurs?
Knowl. Inf. Syst. 18(1): 83-108 (2009) |
| 2008 |
|---|
| 10 | EE | David A. Cieslak,
Nitesh V. Chawla:
Learning Decision Trees for Unbalanced Data.
ECML/PKDD (1) 2008: 241-256 |
| 9 | EE | David A. Cieslak,
Nitesh V. Chawla,
Douglas Thain:
Troubleshooting thousands of jobs on production grids using data mining techniques.
GRID 2008: 217-224 |
| 8 | EE | David A. Cieslak,
Nitesh V. Chawla:
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data.
ICDM 2008: 143-152 |
| 7 | EE | Nitesh V. Chawla,
Douglas Thain,
Ryan Lichtenwalter,
David A. Cieslak:
Data mining on the grid for the grid.
IPDPS 2008: 1-5 |
| 6 | EE | David A. Cieslak,
Nitesh V. Chawla:
Analyzing PETs on Imbalanced Datasets When Training and Testing Class Distributions Differ.
PAKDD 2008: 519-526 |
| 5 | EE | Chad D. Mano,
Andrew Blaich,
Qi Liao,
Yingxin Jiang,
David A. Cieslak,
David Salyers,
Aaron Striegel:
RIPPS: Rogue Identifying Packet Payload Slicer Detecting Unauthorized Wireless Hosts Through Network Traffic Conditioning.
ACM Trans. Inf. Syst. Secur. 11(2): (2008) |
| 4 | EE | Nitesh V. Chawla,
David A. Cieslak,
Lawrence O. Hall,
Ajay Joshi:
Automatically countering imbalance and its empirical relationship to cost.
Data Min. Knowl. Discov. 17(2): 225-252 (2008) |
| 3 | EE | Qi Liao,
David A. Cieslak,
Aaron Striegel,
Nitesh V. Chawla:
Using selective, short-term memory to improve resilience against DDoS exhaustion attacks.
Security and Communication Networks 1(4): 287-299 (2008) |
| 2007 |
|---|
| 2 | EE | David A. Cieslak,
Nitesh V. Chawla:
Detecting Fractures in Classifier Performance.
ICDM 2007: 123-132 |
| 2006 |
|---|
| 1 | EE | David A. Cieslak,
Douglas Thain,
Nitesh V. Chawla:
Troubleshooting Distributed Systems via Data Mining.
HPDC 2006: 309-312 |
