Dimitrios Gunopulos

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Vana KalogerakiProfessor, Department of Informatics, Athens University of Economics and Business, Athens, GreeceVerified email at aueb.gr
George KolliosProfessor of Computer Science, Boston UniversityVerified email at bu.edu
Michalis VlachosProfessor, HEC Lausanne, University of LausanneVerified email at unil.ch
Vassilis J. TsotrasProfessor, Department of Computer Science and Engineering, University of California, RiversideVerified email at cs.ucr.edu
Gautam DasDistinguished University Chair Professor, Associate Dean, University of Texas at ArlingtonVerified email at uta.edu
Carlotta DomeniconiProfessor of Computer Science, George Mason UniversityVerified email at cs.gmu.edu
Demetris ZeinalipourUniversity of CyprusVerified email at ucy.ac.cy
Rakesh AgrawalData Insights LaboratoriesVerified email at datainsightslabs.com
Nick KoudasProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
George ValkanasApple, IncVerified email at di.uoa.gr
Ioannis KatakisUniversity of NicosiaVerified email at unic.ac.cy
Dimitris PapadopoulosSenior Applied Scientist, MicrosoftVerified email at acm.org
Johannes GehrkeMicrosoftVerified email at microsoft.com
Heikki MannilaAalto UniversityVerified email at aalto.fi
Theodoros LappasAthens University of Economics & BusinessVerified email at aueb.gr
Prabhakar RaghavanGoogleVerified email at google.com
Themis PalpanasDistinguished Professor, University Paris Cite, French University Institute (IUF)Verified email at mi.parisdescartes.fr
Marios HadjieleftheriouAT&T Labs - ResearchVerified email at research.att.com
Panagiotis PapapetrouProfessor, Stockholm University, SwedenVerified email at dsv.su.se
Nikolaos PanagiotouDepartment of Informatics and TelecommunicationsVerified email at di.uoa.gr

Dimitrios Gunopulos

National and Kapodistrian University of Athens

Verified email at di.uoa.gr - Homepage

Data Mining Data Management Big Data Machine Learning Sensor Networks


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Automatic subspace clustering of high dimensional data for data mining applications R Agrawal, J Gehrke, D Gunopulos, P Raghavan Proceedings of the 1998 ACM SIGMOD international conference on Management of …, 1998	4401	1998
Discovering similar multidimensional trajectories M Vlachos, G Kollios, D Gunopulos Proceedings 18th international conference on data engineering, 673-684, 2002	2139	2002
Mining process models from workflow logs R Agrawal, D Gunopulos, F Leymann International Conference on Extending Database Technology, 467-483, 1998	1311	1998
Constraint-based rule mining in large, dense databases RJ Bayardo, R Agrawal, D Gunopulos Data mining and knowledge discovery 4, 217-240, 2000	858	2000
A local search mechanism for peer-to-peer networks V Kalogeraki, D Gunopulos, D Zeinalipour-Yazti Proceedings of the eleventh international conference on Information and …, 2002	662	2002
Online outlier detection in sensor data using non-parametric models S Subramaniam, T Palpanas, D Papadopoulos, V Kalogeraki, ... Proceedings of the 32nd international conference on Very large data bases …, 2006	636	2006
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	581	2003
On indexing mobile objects G Kollios, D Gunopulos, VJ Tsotras Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART Symposium on …, 1999	563	1999
Automatic subspace clustering of high dimensional data R Agrawal, J Gehrke, D Gunopulos, P Raghavan Data Mining and knowledge discovery 11, 5-33, 2005	490	2005
Finding similar time series G Das, D Gunopulos, H Mannila European Symposium on Principles of Data Mining and Knowledge Discovery, 88-100, 1997	481	1997
Locally adaptive metric nearest-neighbor classification C Domeniconi, J Peng, D Gunopulos IEEE transactions on pattern analysis and machine intelligence 24 (9), 1281-1285, 2002	450	2002
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	373	2004
Locally adaptive metrics for clustering high dimensional data C Domeniconi, D Gunopulos, S Ma, B Yan, M Al-Razgan, ... Data Mining and Knowledge Discovery 14, 63-97, 2007	326	2007
Data mining, hypergraph transversals, and machine learning D Gunopulos, H Mannila, R Khardon, H Toivonen Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on …, 1997	322	1997
Prospective customer selection using customer and market reference data PB Chou, E Grossman, D Gunopulos, PV Kamesam US Patent 6,061,658, 2000	320	2000
Indexing large human-motion databases E Keogh, T Palpanas, VB Zordan, D Gunopulos, M Cardle Proceedings of the Thirtieth international conference on Very large data …, 2004	312	2004
Efficient biased sampling for approximate clustering and outlier detection in large data sets G Kollios, D Gunopulos, N Koudas, S Berchtold IEEE Transactions on knowledge and data engineering 15 (5), 1170-1187, 2003	298	2003
Finding effectors in social networks T Lappas, E Terzi, D Gunopulos, H Mannila Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	287	2010
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	285	2005
Discovering all most specific sentences D Gunopulos, R Khardon, H Mannila, S Saluja, H Toivonen, RS Sharma ACM Transactions on Database Systems (TODS) 28 (2), 140-174, 2003	284	2003

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