| Discovering similar multidimensional trajectories M Vlachos, G Kollios, D Gunopulos Proceedings 18th international conference on data engineering, 673-684, 2002 | 2092 | 2002 |
| Indexing multi-dimensional time-series with support for multiple distance measures M Vlachos, M Hadjieleftheriou, D Gunopulos, E Keogh Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 575 | 2003 |
| Identifying similarities, periodicities and bursts for online search queries M Vlachos, C Meek, Z Vagena, D Gunopulos Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004 | 369 | 2004 |
| On periodicity detection and structural periodic similarity M Vlachos, P Yu, V Castelli Proceedings of the 2005 SIAM international conference on data mining, 449-460, 2005 | 306 | 2005 |
| LB_Keogh supports exact indexing of shapes under rotation invariance with arbitrary representations and distance measures E Keogh, L Wei, X Xi, SH Lee, M Vlachos Proceedings of the 32nd international conference on Very large data bases …, 2006 | 302 | 2006 |
| Iterative incremental clustering of time series J Lin, M Vlachos, E Keogh, D Gunopulos Advances in Database Technology-EDBT 2004: 9th International Conference on …, 2004 | 282 | 2004 |
| Mining time series data CA Ralanamahatana, J Lin, D Gunopulos, E Keogh, M Vlachos, G Das Data mining and knowledge discovery handbook, 1069-1103, 2005 | 277 | 2005 |
| Non-linear dimensionality reduction techniques for classification and visualization M Vlachos, C Domeniconi, D Gunopulos, G Kollios, N Koudas Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 264 | 2002 |
| A wavelet-based anytime algorithm for k-means clustering of time series M Vlachos, J Lin, E Keogh, D Gunopulos Workshop on Clustering High Dimensionality Data and Its Applications, at the …, 2003 | 243 | 2003 |
| Indexing multidimensional time-series M Vlachos, M Hadjieleftheriou, D Gunopulos, E Keogh The VLDB Journal 15, 1-20, 2006 | 220 | 2006 |
| Online amnesic approximation of streaming time series T Palpanas, M Vlachos, E Keogh, D Gunopulos, W Truppel Proceedings. 20th International Conference on Data Engineering, 339-349, 2004 | 218 | 2004 |
| Supporting exact indexing of arbitrarily rotated shapes and periodic time series under euclidean and warping distance measures E Keogh, L Wei, X Xi, M Vlachos, SH Lee, P Protopapas The VLDB journal 18, 611-630, 2009 | 184 | 2009 |
| Rotation invariant distance measures for trajectories M Vlachos, D Gunopulos, G Das Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 140 | 2004 |
| Global distance-based segmentation of trajectories A Anagnostopoulos, M Vlachos, M Hadjieleftheriou, E Keogh, PS Yu Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 133 | 2006 |
| Net-fli: on-the-fly compression, archiving and indexing of streaming network traffic F Fusco, MP Stoecklin, M Vlachos Proceedings of the VLDB Endowment 3 (1-2), 1382-1393, 2010 | 127 | 2010 |
| Robust similarity measures for mobile object trajectories M Vlachos, D Gunopulos, G Kollios Proceedings. 13th International workshop on database and expert systems …, 2002 | 125 | 2002 |
| Computing correlation anomaly scores using stochastic nearest neighbors T Idé, S Papadimitriou, M Vlachos Seventh IEEE international conference on data mining (ICDM 2007), 523-528, 2007 | 104 | 2007 |
| Domain-driven, actionable knowledge discovery L Cao, C Zhang, D Taniar, E Dubossarsky, W Graco, Q Yang, D Bell, ... IEEE Intelligent Systems, 78-88, c3, 2007 | 96 | 2007 |
| The threshold join algorithm for top-k queries in distributed sensor networks D Zeinalipour-Yazti, Z Vagena, D Gunopulos, V Kalogeraki, V Tsotras, ... Proceedings of the 2nd international workshop on Data management for sensor …, 2005 | 90 | 2005 |
| Elastic translation invariant matching of trajectories M Vlachos, G Kollios, D Gunopulos Machine Learning 58, 301-334, 2005 | 88 | 2005 |
Dimitrios GunopulosNational and Kapodistrian University of Athens在 di.uoa.gr 的电子邮件经过验证
