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DIAL Publications

2011

  1. T. Ryan Hoens, Nitesh V. Chawla, and Robi Polikar. “Heuristic Updatable Weighted Random Subspaces for Non-Stationary Environments.” Proceedings of the IEEE International Conference on Data Mining (ICDM), pp. 241–250, 2011. PDF
  2. Nathan Regola and Nitesh V. Chawla. “Small Compute Clusters for Large-Scale Data Analysis.” Proceedings of the International Conference on Information Technology, Systems and Management (ITSM), 2011. PDF
  3. Jake T. Lussier and Nitesh V. Chawla. “Network Effects on Tweeting.” Discovery Science, Lecture Notes in Computer Science, pp. 209–220, 2011. PDF
  4. Troy Raeder, Omar Lizardo, David Hachen, and Nitesh V. Chawla. “Predictors of Short-Term Decay of Cell Phone Contacts in a Large-Scale Communication Network.” Social Networks, 33(4):245–257, 2011. PDF
  5. Ryan N. Lichtenwalter and Nitesh V. Chawla. “LPmade: Link Prediction Made Easy.” Journal of Machine Learning Research (JMLR), 12(Aug):2489–2492, 2011. PDF
  6. Karsten Steinhaeuser, Nitesh V. Chawla, and Auroop R. Ganguly. “Comparing Predictive Power in Climate Data: Clustering Matters.” Advances in Spatial and Temporal Databases (SSTD), pp. 39–55, 2011. PDF
  7. Darcy A. Davis, Ryan N. Lichtenwalter, and Nitesh V. Chawla. “Multi-Relational Link Prediction in Heterogeneous Information Networks.” Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 281–288, 2011. PDF
  8. Ryan N. Lichtenwalter and Nitesh V. Chawla. “DisNet: A Framework for Distributed Graph Computation.” Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 264–270, 2011. PDF
  9. Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, and Jiawei Han. “Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks.” Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 394–397, 2011. PDF
  10. Darcy A. Davis and Nitesh V. Chawla. “Exploring and Exploiting Disease Interactions from Multi-Relational Gene and Phenotype Networks.” PLoS one, 6(7):e22670, 2011. PDF
  11. Saurav Pandit, Yang Yang, Vikas Kawadia, Sameet Sreenivasan, and Nitesh V. Chawla. “Detecting Communities in Time-Evolving Proximity Networks.” Proceedings of the IEEE Network Science Workshop (NSW), pp. 173–179, 2011. PDF
  12. Alex Pelan, Karsten Steinhaeuser, Nitesh V. Chawla, Dilkushi A. de Alwis Pitts, and Auroop R. Ganguly. “Empirical Comparison of Correlation Measures and Pruning Levels in Complex Networks Representing the Global Climate System.” Proceedings of the IEEE Symposium Series on Computational Intelligence and Data Mining (CIDM) , pp. 239–245, 2011. PDF
  13. Troy Raeder and Nitesh V. Chawla. “Market Basket Analysis with Networks.” Social Networks Analysis and Mining (SNAM), 1(2):97–113, 2011. PDF

2010

  1. Andrew K. Rider, Geoffrey H. Siwo, Nitesh V. Chawla, Michael T. Ferdig, and Scott J. Emrich. “A Supervised Learning Approach to the Unsupervised Clustering of Genes.” Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 322–328, 2010. PDF
  2. Troy Raeder, T. Ryan Hoens, and Nitesh V. Chawla. “Consequences of Variability in Classifier Performance Estimates.” Proceedings of the 10th IEEE International Conference on Data Mining (ICDM), pp. 421–430, 2010. PDF
  3. Karsten Steinhaeuser, Nitesh V. Chawla, and Auroop R. Ganguly. “Complex Networks as a Unified Framework for Descriptive Analysis and Predictive Modeling in Climate Science.” Statistical Analysis and Data Mining (SADM), 4(5):497–511, 2010. PDF
  4. T. Ryan Hoens, Marina Blanton, and Nitesh V. Chawla. “Reliable Medical Recommendation Systems with Patient Privacy.” Proceedings of the 1st ACM International Health Informatics Symposium (IHI), pp. 173–182, 2010. PDF
  5. Karsten Steinhaeuser, Nitesh V. Chawla, and Auroop R. Ganguly. “An Exploration of Climate Data Using Complex Networks.” ACM SIGKDD Explorations Newletter, 12(1):25–32, 2010. PDF
  6. Karsten Steinhaeuser, Nitesh V. Chawla, and Auroop R. Ganguly. “Complex Networks in Climate Science: Progress, Opportunities and Challenges.” Proceedings of the IEEE Conference on Intelligent Data Understanding (CIDU), pp. 16–26, 2010. PDF
  7. Andrew K. Rider, Geoffrey H. Siwo, Nitesh V. Chawla, Michael T. Ferdig, and Scott J. Emrich. “A Statistical Approach to Finding Overlooked Genetic Associations.” BMC Bioinformatics, 11:526, 2010. PDF
  8. Qi Liao, Aaron D. Striegel, and Nitesh V. Chawla. “Visualizing Graph Dynamics and Similarity for Enterprise Network Security and Management.” Proceedings of the 7th ACM International Symposium on Visualization for Cyber Security (VizSec), pp. 34–45, 2010. PDF
  9. T. Ryan Hoens, Marina Blanton, and Nitesh V. Chawla. “A Private and Reliable Recommendation System for Social Networks.” Proceedings of the 2nd IEEE International Conference on Social Computing (SocialCom), pp. 816–825, 2010. PDF
  10. Gregory Ditzler, Nitesh V. Chawla, and Robi Polikar. “An Incremental Learning Algorithm for Nonstationary Environments and Class Imbalance.” Proceedings of the 20th International Conference on Pattern Recognition (ICPR), pp. 2997–3000, 2010. PDF
  11. Ryan N. Lichtenwalter, Jake T. Lussier, and Nitesh V. Chawla. “New Perspectives and Methods in Link Prediction.” Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 243–252, 2010. PDF
  12. T. Ryan Hoens and Nitesh V. Chawla. “Generating Diverse Ensembles to Counter the Problem of Class Imbalance.” Advances in Knowledge Discovery and Data Mining (PAKDD), pp. 488–499, 2010. PDF
  13. Troy Raeder, Marina Blanton, Nitesh V. Chawla, and Keith Frikken. “Privacy-Preserving Network Aggregation.” Advances in Knowledge Discovery and Data Mining (PAKDD), pp. 198–207, 2010. PDF
  14. James E. Gray, Darcy A. Davis, DeWayne M. Pursley, Jane E. Smallcomb, Alon Geva, and Nitesh V. Chawla. “Network Analysis of Team Structure in the Neonatal Intensive Care Unit.” Journal of the American Academy of Pediatrics, 125(6):e1460–e1467, 2010. PDF
  15. Darcy A. Davis, Nitesh V. Chawla, Nicholas A. Christakis, and Albert László Barabási. “Time to CARE: A Collaborative Filtering Engine for Practical Disease Prediction.” Data Mining and Knowledge Discovery (DMKD), 20(3):388–415, 2010. PDF
  16. Karsten Steinhaeuser and Nitesh V. Chawla. “Identifying and Evaluating Community Structure in Complex Networks.” Pattern Recognition Letters, 31(5):413–421, 2010. PDF
  17. Lorenzo Beretta, Alessandro Santaniello, Francesca Cappiello, Nitesh V. Chawla, Madelon C. Vonk, Patricia E. Carreira, Yannick Allanore, Delia A. Popa-Diaconu, Marta Cossu, Francesca Bertolotti, Gianfranco Ferraccioli, Antonino Mazzone, and Rafaella Scorza. “Development of a Five-Year Mortality Model in Systemic Sclerosis Patients by Different Analytical Approaches.” Clinical & Experimental Rheumatology (CER), 28(2):S18–27, 2010. PDF
  18. Jake T. Lussier, Troy Raeder, and Nitesh V. Chawla. “User Generated Content Consumption and Social Networking in Knowledge-Sharing OSNs.” Advances in Social Computing, pp. 228–237, 2010. PDF
  19. Wei Liu, Sanjay Chawla, David A. Cieslak, and Nitesh V. Chawla. “A Robust Decision Tree Algorithm for Imbalanced Data Sets.” Proceedings of the SIAM Conference on Data Mining (SDM), 766–777, 2010. PDF
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