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Note: Links lead to the DBLP on the Web. Maria Halkidi Iraklis Varlamis , Michalis Vazirgiannis , Maria Halkidi, Benjamin Nguyen : THESUS, a Closer View on Web Content Management Enhanced with Link Semantics. IEEE Trans. Knowl. Data Eng. 16 (6): 685-700 (2004) Michalis Vazirgiannis , Maria Halkidi, Dimitrios Gunopulos : Uncertainty Handling and Quality Assessment in Data Mining Springer 2003 Stefano Rizzi , Elisa Bertino , Barbara Catania , Matteo Golfarelli , Maria Halkidi, Manolis Terrovitis , Panos Vassiliadis , Michalis Vazirgiannis , Euripides Vrachnos : Towards a Logical Model for Patterns. ER 2003 : 77-90 Maria Halkidi, Benjamin Nguyen , Iraklis Varlamis , Michalis Vazirgiannis : THESUS: Organizing Web document collections based on link semantics. VLDB J. 12 (4): 320-332 (2003) Christos Amanatidis , Maria Halkidi, Michalis Vazirgiannis : UMiner: A Data Mining System Handling Uncertainty and Quality. EDBT 2002 : 762-765 Maria Halkidi, Michalis Vazirgiannis : Managing Uncertainty and Quality in the Classification Process. SETN 2002 : 273-287 Maria Halkidi, Yannis Batistakis , Michalis Vazirgiannis : Cluster Validity Methods: Part I. SIGMOD Record 31 (2): 40-45 (2002) Maria Halkidi, Yannis Batistakis , Michalis Vazirgiannis : Clustering Validity Checking Methods: Part II. SIGMOD Record 31 (3): 19-27 (2002) Maria Halkidi, Michalis Vazirgiannis : Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set. ICDM 2001 : 187-194 Maria Halkidi, Michalis Vazirgiannis : A Data Set Oriented Approach for Clustering Algorithm Selection. PKDD 2001 : 165-179 Maria Halkidi, Yannis Batistakis , Michalis Vazirgiannis : Clustering Algorithms and Validity Measures. SSDBM 2001 : 3-22 Maria Halkidi, Yannis Batistakis , Michalis Vazirgiannis : On Clustering Validation Techniques. J. Intell. Inf. Syst. 17 (2-3): 107-145 (2001) Maria Halkidi: Quality Assessment and Uncertainty Handling in Data Mining Process. EDBT PhD Workshop 2000 Maria Halkidi, Michalis Vazirgiannis , Yannis Batistakis : Quality Scheme Assessment in the Clustering Process. PKDD 2000 : 265-276 1 [ 10 ] 2 [ 1 ] [ 3 ] [ 4 ] [ 7 ] [ 8 ] 3 [ 12 ] 4 [ 12 ] 5 [ 12 ] 6 [ 13 ] 7 [ 11 ] [ 14 ] 8 [ 12 ] 9 [ 12 ] 10 [ 11 ] [ 14 ] 11 [ 12 ] 12 [ 1 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] 13 [ 12 ]  ©2004 Association for Computing Machinery |
