Ian Davidson

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S. S. RaviResearch Professor, Biocomplexity Institute, University of VirginiaVerified email at virginia.edu
Xiang WangGoogleVerified email at google.com
Sugato BasuPrincipal Scientist at GoogleVerified email at google.com
Jieping Ye, IEEE FellowUniversity of MichiganVerified email at umich.edu
Peter WalkerJoint Artificial Intelligence CenterVerified email at mail.mil
Kiri WagstaffJet Propulsion LaboratoryVerified email at jpl.nasa.gov
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Goutam PaulAssociate Professor, Cryptology & Security Research Unit (CSRU), Indian Statistical InstituteVerified email at ieee.org
Fei WangAssociate Professor at Cornell UniversityVerified email at med.cornell.edu
Qian SunGoogleVerified email at asu.edu
Owen CarmichaelPennington Biomedical Research CenterVerified email at pbrc.edu
Xingquan (Hill) ZhuFlorida Atlantic UniversityVerified email at fau.edu
Ashwin SatyanarayanaAssociate Professor of Computer Systems Technology, New York City College of Technology (CUNY)Verified email at citytech.cuny.edu
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Shuiwang Ji, ACM Distinguished Mem...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
Tina Eliassi-RadProfessor of Computer Science, Northeastern UniversityVerified email at eliassi.org
Naren RamakrishnanThomas L. Phillips Prof. of Engineering; Director, @SanghaniCtrVT, Virginia TechVerified email at cs.vt.edu
Martin EsterProfessor of Computer Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Jun WangVerified email at ee.columbia.edu
Siegfried NijssenICTEAM, EPL, Université catholique de Louvain; Universiteit LeidenVerified email at uclouvain.be

Ian Davidson

Professor of Computer Science, University of California - Davis

Verified email at cs.ucdavis.edu - Homepage

Data Mining Machine Learning Artificial Intelligence


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Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff CRC Press, 2008	605	2008
Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff CRC Press, 2008	605	2008
Clustering With Constraints: Feasibility Issues and the k-Means Algorithm I Davidson, SS Ravi Proceedings of the 2005 SIAM international conference on data mining, 138-149, 2005	355	2005
A survey of clustering with instance level constraints I Davidson, S Basu ACM Transactions on Knowledge Discovery from Data, 1-41, 2007	313*	2007
Agglomerative hierarchical clustering with constraints: Theoretical and empirical results I Davidson, SS Ravi European Conference on Principles of Data Mining and Knowledge Discovery, 59-70, 2005	285	2005
Agglomerative hierarchical clustering with constraints: Theoretical and empirical results I Davidson, S Ravi Knowledge Discovery in Databases: PKDD 2005, 59-70, 2005	285	2005
Measuring constraint-set utility for partitional clustering algorithms I Davidson, KL Wagstaff, S Basu European conference on principles of data mining and knowledge discovery …, 2006	242	2006
Visual data mining: Techniques and tools for data visualization and mining T Soukup, I Davidson John Wiley & Sons, Inc., 2002	240	2002
Visual data mining: techniques and tools for data visualization and mining TSI Davidson, T Soukup Wiley Publishing, Inc, 2002	240*	2002
Flexible constrained spectral clustering X Wang, I Davidson Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	222	2010
Knowledge Discovery and Data Mining: Challenges and Realities: Challenges and Realities X Zhu, I Davidson Igi Global, 2007	213*	2007
Constrained Clustering - Introduction KW S Basu, I Davidson CRC Press, 2008	198*	2008
Multisource domain adaptation and its application to early detection of fatigue R Chattopadhyay, Q Sun, W Fan, I Davidson, S Panchanathan, J Ye ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (4), 1-26, 2012	169	2012
On constrained spectral clustering and its applications X Wang, B Qian, I Davidson Data Mining and Knowledge Discovery 28 (1), 1-30, 2014	159	2014
A principled and flexible framework for finding alternative clusterings ZJ Qi, I Davidson Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	114	2009
A survey of clustering with instance level I Davidson, S Basu Constraints 1, 2, 2007	113*	2007
A survey of clustering with instance level I Davidson, S Basu Constraints 1, 2, 2007	113*	2007
Finding alternative clusterings using constraints I Davidson, Z Qi 2008 Eighth IEEE International Conference on Data Mining, 773-778, 2008	92	2008
An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. W Fan, I Davidson, B Zadrozny, SY Philip ICDM 5, 605-608, 2005	92	2005
Network discovery via constrained tensor analysis of fmri data I Davidson, S Gilpin, O Carmichael, P Walker Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	90	2013

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