Publications

Recent Papers

  • KDD 2012 Paper on Counting Feasible Clusterings
  • KDD 2011 Paper on Constrained HierarchiesPDF
  • KDD 2011 Paper on Multi source learning PDF
  • KDD 2010 Paper on Constrained Spectral Clustering PDF
  • KDD 2010 Paper on Disparate Clustering PDF
  • ICDM 2010 Paper on Contextual Outliers PDF
  • ICDM 2009 Paper on Active Spectral Clustering PDF
  • AAAI 2010 Paper on Multi-label, Semi-Supervised Learning PDF
  • SDM 2010 Paper on SAT Solvers and Clustering PDF
  • New DMKD Journal Paper on Constraints and Hierarchical Clustering PDF
  • The Book has been sent to the publishers, check it out! Click here for book details,Buy from Amazon
  • New IJCAI Paper on Dimension Reduction Using Weighted Graphs PDF
  • New KDD Paper on Finding Alternative Clusterings PDF
  • New ICDM Paper on Finding Alternative Clusterings PDF
  • New Journal of DMKD Paper on Constraints and Agglomerative clustering: PDF
  • The Book has been sent to the publishers, check it out! Click here for book details,Buy from Amazon

 

Older Papers

  • Constrained Clustering (In collaboration with S.  Basu (SRI), S.S. Ravi (SUNY) and K. Wagstaff (NASA-JPL))
  • Davidson I. Ester M. and Ravi, S.S., Efficient Incremental Clustering with Constraints, 13th ACM Knowledge Discovery and Data Mining Conference 2007 PDF
  • Ge, R., Ester, M., Jin W., and Davidson I., Constraint Driven Clustering, 13th ACM Knowledge Discovery and Data Mining Conference 2007
  • Davidson I., Ravi, S.S., Intractability and Clustering with Constraints, To Appear in the Proceeding of ICML 2007 PDF
  • Davidson I., Basu S.S., Clustering with Constraints Bibliography, To Appear, PDF
  • Davidson I., Wagstaff, K., Basu, Sugato., Measuring Constraint-Set Utility for Partitional Clustering Algorithms , To Appear in the Proceeding of ECML/PKDD 2006 (acceptance rate 9%) PDF,
  • Davidson I., Ravi S.S., Identifying and Generating Easy Sets of Constraints For Clustering, To Appear 21st AAAI Conference, 2006. (acceptance rate 21%) PDF
  • Davidson I. and Ravi, S. S. Hierarchical Clustering with Constraints: Theory and Practice, 9th European Principles and Practice of KDD, PKDD 2005. (acceptance rate 11%) (Email me for Journal/TR version) PDF Extended technical report with all proofs PDF
  • Davidson I., Ravi, S.S., Clustering under Constraints: Feasibility Issues and the $K$-Means Algorithm, 5th SIAM Data Mining Conference, (acceptance rate 14%). Winner, Best Paper Award, PDF,
  • Learning With Biased Training Sets (In collaboration with Wei Fan (IBM Watson))
  • Wei Fan and Ian Davidson “On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples”, SIAM Data Mining Conference 2007 (acceptance rate 9%).
  • Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, and Xiangshang Li, “Forecasting Skewed Biased Stochastic Ozone Days”, IEEE ICDM 2006 (acceptance rate 9%). , Winner Best Paper Award, PDF,
  • Davidson I., Fan, Wei., When Efficient Model Averaging Out-Performs Boosting and Bagging , To Appear in the Proceeding of ECML/PKDD 2006 (acceptance rate 18%) PDF,
  • Fan, W. and Davidson I., ReverseTesting: An Efficient Framework to Select Amongst Classifiers under Sample Selection Bias, To Appear 12th ACM KDD Conference, Philadelphia, 2006. (acceptance rate 11%) PDF
  • Fan W., Davidson I., Zadrozny B. and Yu P., An Improved Categorization of Classifier’s Sensitivity on Sample Selection Bias, 5th IEEE International Conference on Data Mining, ICDM 2005. (acceptance rate 18%) PDF

Recent Books

  • Constrained Clustering: Advances in Algorithms, Applications and Theory, In Preparation Due out 2008 co-edited with Sugato Basu and Kiri Wagstaff. CRC Press. Click here for book details, Buy from Amazon
  • Knowledge Discovery and Data Mining: Challenges and Realities of Mining Real World Data with co-edited with Hill Zhu, Ideal Press 2007. Click here for ToC

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