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Note: Links lead to the DBLP on the Web. Dimitrios Gunopulos Song Lin , Dimitrios Gunopulos, Stefano Lonardi , Vana Kalogeraki : Applying LVQ Techniques to Compress Historical Information in Sensor Networks. DCC 2005 : 468 Jessica Lin , Michail Vlachos , Eamonn J. Keogh , Dimitrios Gunopulos, Jian-Wei Liu , Shou-Jian Yu , Jia-Jin Le : A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. PAKDD 2005 : 333-342 Demetrios Zeinalipour-Yazti , Vana Kalogeraki , Dimitrios Gunopulos: Exploiting locality for scalable information retrieval in peer-to-peer networks. Inf. Syst. 30 (4): 277-298 (2005) Michail Vlachos , George Kollios , Dimitrios Gunopulos: Elastic Translation Invariant Matching of Trajectories. Machine Learning 58 (2-3): 301-334 (2005) Dimitrios Gunopulos, George Kollios , Vassilis J. Tsotras , Carlotta Domeniconi : Selectivity estimators for multidimensional range queries over real attributes. VLDB J. 14 (2): 137-154 (2005) George Kollios , Dimitris Papadopoulos , Dimitrios Gunopulos, Vassilis J. Tsotras : Indexing mobile objects using dual transformations. VLDB J. 14 (2): 238-256 (2005) Demetrios Zeinalipour-Yazti , Vana Kalogeraki , Dimitrios Gunopulos: On Constructing Internet-Scale P2P Information Retrieval Systems. DBISP2P 2004 : 136-150 Peggy Agouris , Anthony Stefanidis , Kate Beard , Mark Gahegan , Vassilis J. Tsotras , Dimitrios Gunopulos: Knowledge Management Over Time-Varying Geospatial Datasets. DG.O 2004 Jessica Lin , Michail Vlachos , Eamonn J. Keogh , Dimitrios Gunopulos: Iterative Incremental Clustering of Time Series. EDBT 2004 : 106-122 Marios Hadjieleftheriou , George Kollios , Dimitrios Gunopulos, Vassilis J. Tsotras : Sketching Techniques for Spatio-temporal Density Queries. HDMS 2004 Themistoklis Palpanas , Michail Vlachos , Eamonn J. Keogh , Dimitrios Gunopulos, Wagner Truppel : Online Amnesic Approximation of Streaming Time Series. ICDE 2004 : 338-349 Michail Vlachos , Dimitrios Gunopulos, Gautam Das : Rotation invariant distance measures for trajectories. KDD 2004 : 707-712 Carlotta Domeniconi , Dimitris Papadopoulos , Dimitrios Gunopulos, Sheng Ma : Subspace Clustering of High Dimensional Data. SDM 2004 Michail Vlachos , Christopher Meek , Zografoula Vagena , Dimitrios Gunopulos: Identifying Similarities, Periodicities and Bursts for Online Search Queries. SIGMOD Conference 2004 : 131-142 Eamonn J. Keogh , Themis Palpanas , Victor B. Zordan , Dimitrios Gunopulos, Marc Cardle : Indexing Large Human-Motion Databases. VLDB 2004 : 780-791 Carlotta Domeniconi , Dimitrios Gunopulos: An Efficient Density-based Approach for Data Mining Tasks. Knowl. Inf. Syst. 6 (6): 750-770 (2004) Michalis Vazirgiannis , Maria Halkidi , Dimitrios Gunopulos: Uncertainty Handling and Quality Assessment in Data Mining Springer 2003 Dimitris Papadopoulos , Carlotta Domeniconi , Dimitrios Gunopulos, Sheng Ma : Clustering gene expression data in SQL using locally adaptive metrics. DMKD 2003 : 35-41 Vana Kalogeraki , Alex Delis , Dimitrios Gunopulos: Peer-to-Peer Architectures for Scalable, Efficient and Reliable Media Services. IPDPS 2003 : 29 Michail Vlachos , Marios Hadjieleftheriou , Dimitrios Gunopulos, Eamonn J. Keogh : Indexing multi-dimensional time-series with support for multiple distance measures. KDD 2003 : 216-225 Sudipto Guha , Dimitrios Gunopulos, Nick Koudas : Correlating synchronous and asynchronous data streams. KDD 2003 : 529-534 Marios Hadjieleftheriou , George Kollios , Dimitrios Gunopulos, Vassilis J. Tsotras : On-Line Discovery of Dense Areas in Spatio-temporal Databases. SSTD 2003 : 306-324 Sudipto Guha , Dimitrios Gunopulos, Nick Koudas , Divesh Srivastava , Michail Vlachos : Efficient Approximation Of Optimization Queries Under Parametric Aggregation Constraints. VLDB 2003 : 778-789 Dimitrios Gunopulos, Roni Khardon , Heikki Mannila , Sanjeev Saluja , Hannu Toivonen , Ram Sewak Sharm : Discovering all most specific sentences. ACM Trans. Database Syst. 28 (2): 140-174 (2003) Chotirat (Ann) Ratanamahatana , Dimitrios Gunopulos: Feature Selection for the Naive Bayesian Classifier Using Decision Trees. Applied Artificial Intelligence 17 (5-6): 475-487 (2003) George Kollios , Dimitrios Gunopulos, Nick Koudas , Stefan Berchtold : Efficient Biased Sampling for Approximate Clustering and Outlier Detection in Large Data Sets. IEEE Trans. Knowl. Data Eng. 15 (5): 1170-1187 (2003) Donghui Zhang , Dimitrios Gunopulos, Vassilis J. Tsotras , Bernhard Seeger : Temporal and spatio-temporal aggregations over data streams using multiple time granularities. Inf. Syst. 28 (1-2): 61-84 (2003) Themistoklis Palpanas , Dimitris Papadopoulos , Vana Kalogeraki , Dimitrios Gunopulos: Distributed deviation detection in sensor networks. SIGMOD Record 32 (4): 77-82 (2003) Vana Kalogeraki , Alex Delis , Dimitrios Gunopulos: Handling Multimedia Objects in Peer-to-Peer Networks. CCGRID 2002 : 438-439 Vana Kalogeraki , Dimitrios Gunopulos, Demetrios Zeinalipour-Yazti : A local search mechanism for peer-to-peer networks. CIKM 2002 : 300-307 Dimitris Papadopoulos , George Kollios , Dimitrios Gunopulos, Vassilis J. Tsotras : Indexing Mobile Objects on the Plane. DEXA Workshops 2002 : 693-697 Michail Vlachos , Dimitrios Gunopulos, George Kollios : Robust Similarity Measures for Mobile Object Trajectories. DEXA Workshops 2002 : 721-728 Marios Hadjieleftheriou , George Kollios , Vassilis J. Tsotras , Dimitrios Gunopulos: Efficient Indexing of Spatiotemporal Objects. EDBT 2002 : 251-268 Donghui Zhang , Dimitrios Gunopulos, Vassilis J. Tsotras , Bernhard Seeger : Temporal Aggregation over Data Streams Using Multiple Granularities. EDBT 2002 : 646-663 Dimitris Papadopoulos , George Kollios , Dimitrios Gunopulos, Vassilis J. Tsotras : Indexing Mobile Objects on the Plane. HDMS 2002 Michail Vlachos , Dimitrios Gunopulos, George Kollios : Discovering Similar Multidimensional Trajectories. ICDE 2002 : 673-684 Huiwen Wu , Dimitrios Gunopulos: Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification. ICDM 2002 : 713-716 Michail Vlachos , Carlotta Domeniconi , Dimitrios Gunopulos, George Kollios , Nick Koudas : Non-linear dimensionality reduction techniques for classification and visualization. KDD 2002 : 645-651 Donghui Zhang , Vassilis J. Tsotras , Dimitrios Gunopulos: Efficient Aggregation over Objects with Extent. PODS 2002 : 121-132 Carlotta Domeniconi , Dimitrios Gunopulos: Efficient Local Flexible Nearest Neighbor Classification. SDM 2002 Dimitris Papadopoulos , George Kollios , Dimitrios Gunopulos, Vassilis J. Tsotras : Indexing Mobile Objects Using Duality Transforms. IEEE Data Eng. Bull. 25 (2): 18-24 (2002) Carlotta Domeniconi , Jing Peng , Dimitrios Gunopulos: Locally Adaptive Metric Nearest-Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24 (9): 1281-1285 (2002) George Kollios , Dimitrios Gunopulos, Nick Koudas , Stefan Berchtold : An Efficient Approximation Scheme for Data Mining Tasks. ICDE 2001 : 453-462 Carlotta Domeniconi , Dimitrios Gunopulos: Incremental Support Vector Machine Construction. ICDM 2001 : 589-592 Carlotta Domeniconi , Dimitrios Gunopulos: An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets. ICML 2001 : 98-105 Carlotta Domeniconi , Dimitrios Gunopulos: Adaptive Nearest Neighbor Classification Using Support Vector Machines. NIPS 2001 : 665-672 Donghui Zhang , Alexander Markowetz , Vassilis J. Tsotras , Dimitrios Gunopulos, Bernhard Seeger : Efficient Computation of Temporal Aggregates with Range Predicates. PODS 2001 Aristides Gionis , Dimitrios Gunopulos, Nick Koudas : Efficient and Tunable Similar Set Retrieval. SIGMOD Conference 2001 Dimitrios Gunopulos, Gautam Das : Time Series Similarity Measures and Time Series Indexing. SIGMOD Conference 2001 Ilias Tsoukatos , Dimitrios Gunopulos: Efficient Mining of Spatiotemporal Patterns. SSTD 2001 : 425-442 George Kollios , Vassilis J. Tsotras , Dimitrios Gunopulos, Alex Delis , Marios Hadjieleftheriou : Indexing Animated Objects Using Spatiotemporal Access Methods. IEEE Trans. Knowl. Data Eng. 13 (5): 758-777 (2001) Béla Bollobás , Gautam Das , Dimitrios Gunopulos, Heikki Mannila : Time-Series Similarity Problems and Well-Separated Geometric Sets. Nord. J. Comput. 8 (4): 409-423 (2001) Dimitrios Gunopulos, Nick Koudas : DIMACS Summer School Tutorial on New Frontiers in Data Mining. SIGMOD Record 30 (4): 94-96 (2001) Carlotta Domeniconi , Dimitrios Gunopulos, Jing Peng : Adaptive Metric nearest Neighbor Classification. CVPR 2000 : 1517-1522 Paul B. Chou , Edna Grossman , Dimitrios Gunopulos, Pasumarti Kamesam : Identifying prospective customers. KDD 2000 : 447-456 Carlotta Domeniconi , Jing Peng , Dimitrios Gunopulos: An Adaptive Metric Machine for Pattern Classification. NIPS 2000 : 458-464 Dimitrios Gunopulos, George Kollios , Vassilis J. Tsotras , Carlotta Domeniconi : Approximating Multi-Dimensional Aggregate Range Queries over Real Attributes. SIGMOD Conference 2000 : 463-474 Roberto J. Bayardo Jr. , Rakesh Agrawal , Dimitrios Gunopulos: Constraint-Based Rule Mining in Large, Dense Databases. Data Min. Knowl. Discov. 4 (2/3): 217-240 (2000) Dimitrios Gunopulos, Rajeev Rastogi : Workshop Report: 2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. SIGKDD Explorations 2 (1): 83-84 (2000) Roberto J. Bayardo Jr. , Rakesh Agrawal , Dimitrios Gunopulos: Constraint-Based Rule Mining in Large, Dense Databases. ICDE 1999 : 188-197 George Kollios , Dimitrios Gunopulos, Vassilis J. Tsotras : Indexing Animated Objects. Multimedia Information Systems 1999 : 28-33 George Kollios , Dimitrios Gunopulos, Vassilis J. Tsotras : On Indexing Mobile Objects. PODS 1999 : 261-272 George Kollios , Dimitrios Gunopulos, Vassilis J. Tsotras : Nearest Neighbor Queries in a Mobile Environment. Spatio-Temporal Database Management 1999 : 119-134 Marios D. Dikaiakos , Dimitrios Gunopulos: FIGI: The Architecture of an Internet-Based Financial Information Gathering Infrastructure. WECWIS 1999 : 91-94 Rakesh Agrawal , Dimitrios Gunopulos, Frank Leymann : Mining Process Models from Workflow Logs. EDBT 1998 : 469-483 Rakesh Agrawal , Johannes Gehrke , Dimitrios Gunopulos, Prabhakar Raghavan : Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. SIGMOD Conference 1998 : 94-105 Gautam Das , Rudolf Fleischer , Leszek Gasieniec , Dimitrios Gunopulos, Juha Kärkkäinen : Episode Matching. CPM 1997 : 12-27 Dimitrios Gunopulos, Heikki Mannila , Sanjeev Saluja : Discovering All Most Specific Sentences by Randomized Algorithms. ICDT 1997 : 215-229 Gautam Das , Dimitrios Gunopulos, Heikki Mannila : Finding Similar Time Series. PKDD 1997 : 88-100 Dimitrios Gunopulos, Roni Khardon , Heikki Mannila , Hannu Toivonen : Data mining, Hypergraph Transversals, and Machine Learning. PODS 1997 : 209-216 Béla Bollobás , Gautam Das , Dimitrios Gunopulos, Heikki Mannila : Time-Series Similarity Problems and Well-Separated Geometric Sets. Symposium on Computational Geometry 1997 : 454-456 David P. Dobkin , Dimitrios Gunopulos: Geometric Problems in Machine Learning. WACG 1996 : 121-132 David P. Dobkin , Dimitrios Gunopulos, Wolfgang Maass : Computing the Maximum Bichromatic Discrepancy with Applications to Computer Graphics and Machine Learning. J. Comput. Syst. Sci. 52 (3): 453-470 (1996) David P. Dobkin , Dimitrios Gunopulos: Concept Learning with Geometric Hypotheses. COLT 1995 : 329-336 David P. Dobkin , Dimitrios Gunopulos: Computing the Rectangle Discrepancy. Symposium on Computational Geometry 1994 : 385-386 David P. Dobkin , Dimitrios Gunopulos, Wolfgang Maass : Computing the Maximum Bichromatic Discrepancy, with applications to Computer Graphics and Machine Learning Electronic Colloquium on Computational Complexity (ECCC) 1 (25): (1994) 1 [ 69 ] 2 [ 11 ] [ 12 ] [ 17 ] [ 19 ] 3 [ 17 ] [ 19 ] 4 [ 69 ] 5 [ 34 ] [ 51 ] 6 [ 6 ] [ 25 ] 7 [ 62 ] 8 [ 22 ] 9 [ 6 ] [ 8 ] [ 10 ] [ 25 ] [ 28 ] [ 65 ] 10 [ 26 ] [ 48 ] [ 58 ] 11 [ 13 ] 12 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] 13 [ 20 ] [ 21 ] [ 23 ] [ 31 ] [ 32 ] [ 33 ] [ 35 ] [ 37 ] [ 39 ] [ 59 ] [ 61 ] [ 64 ] [ 72 ] 14 [ 10 ] 15 [ 69 ] 16 [ 10 ] 17 [ 11 ] 18 [ 29 ] 19 [ 22 ] 20 [ 54 ] [ 56 ] 21 [ 26 ] [ 44 ] [ 55 ] [ 57 ] [ 67 ] 22 [ 60 ] 23 [ 47 ] [ 48 ] [ 49 ] [ 58 ] [ 70 ] [ 74 ] [ 76 ] 24 [ 22 ] 25 [ 10 ] 26 [ 57 ] [ 62 ] [ 66 ] [ 68 ] [ 75 ] 27 [ 7 ] [ 53 ] 28 [ 14 ] [ 15 ] [ 16 ] [ 20 ] [ 26 ] [ 34 ] [ 36 ] [ 39 ] [ 41 ] [ 42 ] [ 44 ] [ 45 ] [ 46 ] [ 51 ] [ 55 ] [ 67 ] [ 71 ] [ 72 ] [ 73 ] 29 [ 24 ] [ 29 ] [ 34 ] [ 39 ] [ 51 ] [ 54 ] [ 56 ] 30 [ 75 ] 31 [ 12 ] 32 [ 68 ] [ 75 ] 33 [ 76 ] 34 [ 75 ] 35 [ 76 ] 36 [ 59 ] [ 64 ] 37 [ 1 ] [ 4 ] 38 [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 25 ] [ 53 ] 39 [ 30 ] 40 [ 63 ] 41 [ 62 ] 42 [ 49 ] [ 66 ] 43 [ 36 ] [ 42 ] [ 46 ] [ 49 ] [ 59 ] [ 64 ] [ 71 ] 44 [ 21 ] [ 23 ] [ 35 ] 45 [ 11 ] 46 [ 18 ] 47 [ 52 ] 48 [ 9 ] [ 53 ] 49 [ 30 ] [ 43 ] [ 50 ] 50 [ 53 ] 51 [ 54 ] 52 [ 69 ] 53 [ 7 ] [ 53 ] 54 [ 66 ] 55 [ 14 ] [ 15 ] [ 16 ] [ 20 ] [ 26 ] [ 30 ] [ 36 ] [ 38 ] [ 42 ] [ 43 ] [ 44 ] [ 46 ] [ 50 ] [ 55 ] [ 67 ] [ 69 ] [ 71 ] [ 72 ] 56 [ 27 ] 57 [ 63 ] 58 [ 60 ] 59 [ 39 ] [ 41 ] [ 45 ] [ 54 ] [ 57 ] [ 63 ] [ 65 ] [ 66 ] [ 68 ] [ 73 ] [ 75 ] 60 [ 40 ] 61 [ 75 ] 62 [ 47 ] [ 70 ] [ 74 ] 63 [ 30 ] [ 38 ] [ 43 ] [ 50 ] 64 [ 62 ]  ©2005 Association for Computing Machinery |
