David A. Cieslak

According to our database, David A. Cieslak authored at least 16 papers between 2006 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

An Optimized NL2SQL System for Enterprise Data Mart.

Kaiwen Dong, Kai Lu, Xin Xia, David A. Cieslak, Nitesh V. Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2012

Hellinger distance decision trees are robust and skew-insensitive.

David A. Cieslak, T. Ryan Hoens, Nitesh V. Chawla, W. Philip Kegelmeyer

Data Min. Knowl. Discov., 2012

2010

A Robust Decision Tree Algorithm for Imbalanced Data Sets.

Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla

Proceedings of the SIAM International Conference on Data Mining, 2010

2009

A framework for monitoring classifiers' performance: when and why failure occurs?

David A. Cieslak, Nitesh V. Chawla

Knowl. Inf. Syst., 2009

2008

RIPPS: Rogue Identifying Packet Payload Slicer Detecting Unauthorized Wireless Hosts Through Network Traffic Conditioning.

Chad D. Mano, Andrew Blaich, Qi Liao, Yingxin Jiang, David A. Cieslak, David Salyers, Aaron Striegel

ACM Trans. Inf. Syst. Secur., 2008

Using selective, short-term memory to improve resilience against DDoS exhaustion attacks.

Qi Liao, David A. Cieslak, Aaron Striegel, Nitesh V. Chawla

Secur. Commun. Networks, 2008

Automatically countering imbalance and its empirical relationship to cost.

Nitesh V. Chawla, David A. Cieslak, Lawrence O. Hall, Ajay Joshi

Data Min. Knowl. Discov., 2008

Learning Decision Trees for Unbalanced Data.

David A. Cieslak, Nitesh V. Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Analyzing PETs on Imbalanced Datasets When Training and Testing Class Distributions Differ.

David A. Cieslak, Nitesh V. Chawla

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Data mining on the grid for the grid.

Nitesh V. Chawla, Douglas Thain, Ryan Lichtenwalter, David A. Cieslak

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data.

David A. Cieslak, Nitesh V. Chawla

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Troubleshooting thousands of jobs on production grids using data mining techniques.

David A. Cieslak, Nitesh V. Chawla, Douglas Thain

Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), Tsukuba, Japan, September 29, 2008

2007

Detecting Fractures in Classifier Performance.

David A. Cieslak, Nitesh V. Chawla

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Passive Wireless Host Detection Using Local RTT Timing Characteristics on an Enterprise Network.

Chad D. Mano, David A. Cieslak

Proceedings of the Second International Conference on Security and Privacy in Communication Networks and the Workshops, 2006

Troubleshooting Distributed Systems via Data Mining.

David A. Cieslak, Douglas Thain, Nitesh V. Chawla

Proceedings of the 15th IEEE International Symposium on High Performance Distributed Computing, 2006

Combating imbalance in network intrusion datasets.

David A. Cieslak, Nitesh V. Chawla, Aaron Striegel

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006