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Dr. David A. Cieslak
Research Associate
Center for Research Computing
VectorBase

Office: 208 Cushing Hall
Email: dcieslak@nd.edu

Publications
Publications
  • D. A. Cieslak, N. V. Chawla, "A Framework for Monitoring Classifiers' Performance: When and Why Failure Occurs?", Knowledge and Information System, 18(1), pg. 83-108, 2009

  • Q. Liao, D. A. Cieslak, A. Striegel, N. V. Chawla, "Using Selective, Short-Term Memory to Improve Resilience versus DDoS Exhaustion Attacks," Security and Communication Networks, 1(4), pg. 287-299, 2008

  • N. V. Chawla, D. A. Cieslak, L. Hall, A. Joshi, "Automatically Countering Imbalance and Its Empirical Relationship to Cost," Data Mining and Knowledge Discovery, 17(2), pg. 225-252, 2008

  • C. Mano, A. Blaich, Q. Liao, Y. Jiang, D. A. Cieslak, D. Salyers, A. Striegel, "RIPPS: Rogue Identifying Packet Payload Slicer Detecting Unauthorized Wireless Hosts Through Network Traffic Conditioning," ACM Transactions on Information and System Security, 11(2), pg. 1-23, 2008

  • D. A. Cieslak, N. V. Chawla, "Start Globally, Optimize Locally, Predict Globally: Improving Performance on Unbalanced Data," IEEE International Conference on Data Mining (ICDM), Pisa, Italy, December 2008, pg. 143-152

  • D. A. Cieslak, N. V. Chawla, D. Thain, "Troubleshooting Thousands of Jobs on Production Grids Using Data Mining Techniques," IEEE/ACM International Conference on Grid Computing (GRID), Tsukuba, Japan, September 2008, pg. 217-224

  • D. A. Cieslak, N. V. Chawla, "Learning Decision Trees for Unbalanced Data," IEEuropean Conference on Machine Learning (ECML) , Antwerp, Belgium, September 2008, pg. 241-256

  • D. A. Cieslak, N. V. Chawla, "Analyzing Classifier Performance on Imbalanced Datasets when Training and Testing Distributions Differ," Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Nanjing, China, May, 2008, pg. 519-526

  • N. V. Chawla, D. Thain, R. Lichtenwalter, D. A. Cieslak, "Troubleshooting the Grid," INSF Next Generation Systems Workshop, 2008

  • D. A. Cieslak, N. V. Chawla, "A Framework for Monitoring Classifiers' Performance: When and Why Failure Occurs?", Knowledge and Information System, 18(1), pg. 83-108, 2009

  • Q. Liao, D. A. Cieslak, A. Striegel, N. V. Chawla, "Using Selective, Short-Term Memory to Improve Resilience versus DDoS Exhaustion Attacks," Security and Communication Networks, 1(4), pg. 287-299, 2008

  • D. A. Cieslak, N. V. Chawla, "Detecting Fractures in Classifier Performance," IEEE International Conference on Data Mining (ICDM), Omaha, October 2007, pg. 123-132

  • N. V. Chawla, D. A. Cieslak, "Evaluating Calibration of Probability Estimation Trees," AAAI Workshop on the Evaluation Methods in Machine Learning, Boston, July 2006, pg. 18-23

  • D. A. Cieslak, D. Thain, N. V. Chawla, "Troubleshooting Distributed Systems via Data Mining," Hot Topics Sessions: 15th IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, June 2006, pg. 309-312

  • D. A. Cieslak, N. V. Chawla, A. Striegel, "Combating Imbalance in Network Intrusion Datasets," IEEE International Conference on Granular Computing, Athens, Georgia, May 2006, pg. 732-737

Under Submission
  • D. A. Cieslak, N. V. Chawla, "Optimizing Classifier Performance within Altered Distributions of Imbalanced Datasets" (Under Submission)

  • D. A. Cieslak, N. V. Chawla, W. P. Kegelmeyer, Hellinger Distance Decision Trees are Robust and Skew-Insensitive, PAMI 2009 (Under Revision)