| On the privacy preserving properties of random data perturbation techniques H Kargupta, S Datta, Q Wang, K Sivakumar Third IEEE international conference on data mining, 99-106, 2003 | 888 | 2003 |
| Random-data perturbation techniques and privacy-preserving data mining H Kargupta, S Datta, Q Wang, K Sivakumar Knowledge and Information Systems 7, 387-414, 2005 | 286 | 2005 |
| Distributed clustering using collective principal component analysis H Kargupta, W Huang, K Sivakumar, E Johnson Knowledge and Information Systems 3, 422-448, 2001 | 275 | 2001 |
| Morphological operators for image sequences J Goutsias, HJAM Heijmans, K Sivakumar Computer Vision and Image Understanding 62 (3), 326-346, 1995 | 212 | 1995 |
| Multivariate measurement of gene expression relationships S Kim, ER Dougherty, Y Chen, K Sivakumar, P Meltzer, JM Trent, ... Genomics 67 (2), 201-209, 2000 | 177 | 2000 |
| Aggregate imaging system for characterizing the shape of fine and coarse aggregates T Fletcher, C Chandan, E Masad, K Sivakumar Transportation Research Record 1832 (1), 67-77, 2003 | 153 | 2003 |
| Application of imaging techniques to geometry analysis of aggregate particles C Chandan, K Sivakumar, E Masad, T Fletcher Journal of computing in civil engineering 18 (1), 75-82, 2004 | 134 | 2004 |
| General nonlinear framework for the analysis of gene interaction via multivariate expression arrays S Kim, ER Dougherty, ML Bittner, Y Chen, K Sivakumar, PS Meltzer, ... Journal of biomedical optics 5 (4), 411-424, 2000 | 129 | 2000 |
| Collective mining of Bayesian networks from distributed heterogeneous data R Chen, K Sivakumar, H Kargupta Knowledge and information systems 6, 164-187, 2004 | 128 | 2004 |
| Data mining: Next generation challenges and future directions H Kargupta, A Joshi, K Sivakumar, Y Yesha AAAI Press, 2004 | 125 | 2004 |
| Measurement of aggregate texture and its influence on hot mix asphalt (HMA) permanent deformation C Chandan, E Masad, K Sivakumar, T Fletcher Journal of testing and evaluation 30 (6), 1-8, 2002 | 89 | 2002 |
| Existential pleasures of distributed data mining H Kargupta, K Sivakumar Data Mining: Next Generation Challenges and Future Directions, 1-25, 2004 | 75 | 2004 |
| Row-column soft-decision feedback algorithm for two-dimensional intersymbol interference T Cheng, BJ Belzer, K Sivakumar IEEE Signal Processing Letters 14 (7), 433-436, 2007 | 65 | 2007 |
| Morphologically constrained GRFs: applications to texture synthesis and analysis K Sivakumar, J Goutsias IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (2), 99-113, 1999 | 61 | 1999 |
| Learning Bayesian network structure from distributed data R Chen, K Sivakumar, H Kargupta Proceedings of the 2003 SIAM International Conference on Data Mining, 284-288, 2003 | 60 | 2003 |
| Image restoration using a multilayer perceptron with a multilevel sigmoidal function K Sivakumar, UB Desai IEEE transactions on signal processing 41 (5), 2018-2022, 1993 | 55 | 1993 |
| Discrete morphological size distributions and densities: estimation techniques and applications K Sivakumar, JI Goutsias Journal of Electronic Imaging 6 (1), 31-53, 1997 | 52 | 1997 |
| Privacy-sensitive Bayesian network parameter learning D Meng, K Sivakumar, H Kargupta Fourth IEEE International Conference on Data Mining (ICDM'04), 487-490, 2004 | 50 | 2004 |
| Distributed web mining using Bayesian networks from multiple data streams R Chen, K Sivakumar, H Kargupta Proceedings 2001 IEEE International Conference on Data Mining, 75-82, 2001 | 49 | 2001 |
| Collective principal component analysis from distributed, heterogeneous data H Kargupta, W Huang, K Sivakumar, BH Park, S Wang European Conference on Principles of Data Mining and Knowledge Discovery …, 2000 | 48 | 2000 |
Hillol KarguptaProfessor of Computer Science & Electrical Engineering, University of Maryland, Baltimore County在 cs.umbc.edu 的电子邮件经过验证
