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DIAL Publications

2012

  1. Yuxiao Dong, Jie Tang, Sen Wu, Jilei Tian, Nitesh V. Chawla, Jinghai Rao, and Huanhuan Cao. “Link Prediction and Recommendation Across Heterogeneous Social Networks.” Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pp. 181–190, 2012. PDF
  2. Yang Yang, Nitesh V. Chawla, Yizhou Sun, and Jiawei Han. “Predicting Links in Multi-relational and Heterogeneous Networks.” Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pp. 755–764, 2012. PDF
  3. Saurav Pandit, Yang Yang, and Nitesh V. Chawla. “Maximizing Information Spread Through Influence Structures in Social Networks.” Proceedings of the DaMNet Workshop of the 12th IEEE International Conference on Data Mining (DaMNet-ICDMW), pp. 258–265, 2012. PDF
  4. Nitesh V. Chawla and Yang Yang. “Link Prediction: A Primer.” Encyclopedia of Social Network Analysis and Mining, pp. 813–820, 2012. PDF
  5. Reid A. Johnson, Nitesh V. Chawla, and Jessica J. Hellmann. “Species Distribution Modeling and Prediction: A Class Imbalance Problem.” Proceedings of the Conference on Intelligent Data Understanding (CIDU), pp. 9–16, 2012. PDF
  6. Ryan N. Lichtenwalter and Nitesh V. Chawla. “Link Prediction: Fair and Effective Evaluation.” Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 376–383, 2012. PDF
  7. T. Ryan Hoens and Nitesh V. Chawla. “Learning in Non-stationary Environments with Class Imbalance.” Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 168–176,s 2012. PDF
  8. Karsten Steinhaeuser, Auroop R. Ganguly, and Nitesh V. Chawla. “Multivariate and Multiscale Dependence in the Global Climate System Revealed Through Complex Networks.” Climate Dynamics, 39(3-4):889–895, 2012. PDF
  9. Nathan Regola, David A. Cieslak, and Nitesh V. Chawla. “The Constraints of Magnetic Versus Flash Disk Capabilities in Big Data Analysis.” Proceedings of 2nd ACM Workshop on Architectures and Systems for Big Data (ASBD), pp. 4–9, 2012. PDF
  10. T. Ryan Hoens, Qi Aian, Nitesh V. Chawla, and Zhi-Hua Zhou. “Building Decision Trees for the Multi-class Imbalance Problem.” Advances in Knowledge Discovery and Data Mining (PAKDD), pp. 122–134, 2012. PDF
  11. Mária Ercsey-Ravasz, Ryan N. Lichtenwalter, Nitesh V. Chawla, and Zoltán Toroczkai. “Range-Limited Centrality Measures in Complex Networks.” Physical Review E, 85(6):660–665, 2012. PDF
  12. Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew K. Rider, and Nitesh V. Chawla. “ALIVE: A Multi-Relational Link Prediction Environment for the Healthcare Domain.” Proceedings of the 3rd Workshop on Data Mining for Healthcare Management at the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (DMHM-PAKDD), pp. 36–46, 2012. PDF
  13. Ryan N. Lichtenwalter and Nitesh V. Chawla. “Vertex Collocation Profiles: Subgraph Counting for Link Analysis and Prediction.” Proceedings of 21st International Conference on World Wide Web (WWW), pp. 1019–1028, 2012. PDF
  14. T. Ryan Hoens, Robi Polikar, and Nitesh V. Chawla. “Learning from Streaming Data with Concept Drift and Imbalance: An Overview.” Progress in Artificial Intelligence (PRAI), 1(1):89–101, 2012. PDF
  15. Yizhou Sun, Jiawei Han, Charu C. Aggarwal, and Nitesh V. Chawla. “When Will It Happen? Relationship Prediction in Heterogeneous Information Networks.” Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM), pp. 663–672, 2012. PDF
  16. David A. Cieslak, T. Ryan Hoens, Nitesh V. Chawla, and W. Philip Kegelmeyer. “Hellinger Distance Decision Trees are Robust and Skew-Insensitive.” Data Mining and Knowledge Discovery (DMKD), 24(1):136–158, 2012. PDF
  17. Nitesh V. Chawla, and Francisco Herrera. “A Unifying View on Dataset Shift in Classification.” Pattern Recognition, 45(1):521–530, 2012. PDF

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
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