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Note: Links lead to the DBLP on the Web. Raymond T. Ng H. V. Jagadish , Raymond T. Ng, Beng Chin Ooi , Anthony K. H. Tung : ItCompress: An Iterative Semantic Compression Algorithm. ICDE 2004 : 646-657 Raymond T. Ng, Yuhan Cai : Indexing Spatio-Temporal Trajectories with Chebyshev Polynomials. SIGMOD Conference 2004 Andrew Tae-Jun Kwon , Holger H. Hoos , Raymond T. Ng: Inference of Transcriptional Regulation Relationships from Gene Expression Data. SAC 2003 : 135-140 Laks V. S. Lakshmanan , Carson Kai-Sang Leung , Raymond T. Ng: Efficient dynamic mining of constrained frequent sets. ACM Trans. Database Syst. 28 (4): 337-389 (2003) Andrew T. Kwon , Holger H. Hoos , Raymond T. Ng: Inference of Transcriptional Regulation Relationships from Gene Expression Data. Bioinformatics 19 (8): 905-912 (2003) David J. Hand , Daniel A. Keim , Raymond T. Ng: Guest Editorial. Data Min. Knowl. Discov. 7 (3): 239-240 (2003) David J. Hand , Daniel A. Keim , Raymond T. Ng: Guest Editorial. Data Min. Knowl. Discov. 7 (4): 347-348 (2003) Jessica M. Phan , Raymond T. Ng, Man Saint Yuen , Steve Jones : GEA: A Toolkit for Gene Expression Analysis. BIOKDD 2002 : 63-70 Carson Kai-Sang Leung , Raymond T. Ng, Heikki Mannila : OSSM: A Segmentation Approach to Optimize Frequency Counting. ICDE 2002 : 583-592 Jessica M. Phan , Raymond T. Ng: GEA: a toolkit for gene expression analysis. SIGMOD Conference 2002 : 628 Laks V. S. Lakshmanan , Raymond T. Ng, Christine Xing Wang , Xiaodong Zhou , Theodore Johnson : The Generalized MDL Approach for Summarization. VLDB 2002 : 766-777 Toon Calders , Raymond T. Ng, Jef Wijsen : Searching for dependencies at multiple abstraction levels. ACM Trans. Database Syst. 27 (3): 229-260 (2002) Raymond T. Ng, Jiawei Han : CLARANS: A Method for Clustering Objects for Spatial Data Mining. IEEE Trans. Knowl. Data Eng. 14 (5): 1003-1016 (2002) Carson Kai-Sang Leung , Laks V. S. Lakshmanan , Raymond T. Ng: Exploiting succinct constraints using FP-trees. SIGKDD Explorations 4 (1): 40-49 (2002) Raymond T. Ng, Jörg Sander , Monica C. Sleumer : Hierarchical cluster analysis of SAGE data for cancer profiling. BIOKDD 2001 : 65-72 Zhiyuan Chen , H. V. Jagadish , Flip Korn , Nick Koudas , S. Muthukrishnan , Raymond T. Ng, Divesh Srivastava : Counting Twig Matches in a Tree. ICDE 2001 : 595-604 Anthony K. H. Tung , Raymond T. Ng, Laks V. S. Lakshmanan , Jiawei Han : Constraint-based clustering in large databases. ICDT 2001 : 405-419 Edwin M. Knorr , Raymond T. Ng, Ruben H. Zamar : Robust space transformations for distance-based operations. KDD 2001 : 126-135 Raymond T. Ng, Alan S. Wagner , Yu Yin : Iceberg-cube computation with PC clusters. SIGMOD Conference 2001 Shu Lin , M. Tamer Özsu , Vincent Oria , Raymond T. Ng: An Extendible Hash for Multi-Precision Similarity Querying of Image Databases. VLDB 2001 : 221-230 H. V. Jagadish , Raymond T. Ng: Incompleteness in Data Mining. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000 : 1-10 Olga Kapitskaia , Raymond T. Ng, Divesh Srivastava : Evolution and Revolutions in LDAP Directory Caches. EDBT 2000 : 202-216 Anthony K. H. Tong , Raymond T. Ng, Laks V. S. Lakshmanan , Jiawei Han : Geo-Spatial Clustering with User-Specified Constraints. MDM/KDD 2000 : 1-7 Markus M. Breunig , Hans-Peter Kriegel , Raymond T. Ng, Jörg Sander : LOF: Identifying Density-Based Local Outliers. SIGMOD Conference 2000 : 93-104 Theodore Johnson , Laks V. S. Lakshmanan , Raymond T. Ng: The 3W Model and Algebra for Unified Data Mining. VLDB 2000 : 21-32 Laks V. S. Lakshmanan , Carson Kai-Sang Leung , Raymond T. Ng: The Segment Support Map: Scalable Mining of Frequent Itemsets. SIGKDD Explorations 2 (2): 21-27 (2000) Edwin M. Knorr , Raymond T. Ng, V. Tucakov : Distance-Based Outliers: Algorithms and Applications. VLDB J. 8 (3-4): 237-253 (2000) H. V. Jagadish , Olga Kapitskaia , Raymond T. Ng, Divesh Srivastava : One-dimensional and multi-dimensional substring selectivity estimation. VLDB J. 9 (3): 214-230 (2000) Theodore Johnson , Raymond T. Ng, Laks V. S. Lakshmanan : Towards a Toolkit for Data Analysis and Mining. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 Jef Wijsen , Raymond T. Ng, Toon Calders : Discovering Roll-Up Dependencies. KDD 1999 : 213-222 Markus M. Breunig , Hans-Peter Kriegel , Raymond T. Ng, Jörg Sander : OPTICS-OF: Identifying Local Outliers. PKDD 1999 : 262-270 H. V. Jagadish , Raymond T. Ng, Divesh Srivastava : Substring Selectivity Estimation. PODS 1999 : 249-260 Janice I. Glasgow , Raymond T. Ng: Data Mining and Knowledge Discovery in Molecular Databases - Session Introduction. Pacific Symposium on Biocomputing 1999 : 124-125 Laks V. S. Lakshmanan , Raymond T. Ng, Jiawei Han , Alex Pang : Optimization of Constrained Frequent Set Queries with 2-variable Constraints. SIGMOD Conference 1999 : 157-168 Raymond T. Ng, Laks V. S. Lakshmanan , Jiawei Han , Teresa Mah : Exploratory Mining via Constrained Frequent Set Queries. SIGMOD Conference 1999 : 556-558 Jef Wijsen , Raymond T. Ng: Temporal Dependencies Generalized for Spatial and Other Dimensions. Spatio-Temporal Database Management 1999 : 189-203 H. V. Jagadish , J. Madar , Raymond T. Ng: Semantic Compression and Pattern Extraction with Fascicles. VLDB 1999 : 186-198 Edwin M. Knorr , Raymond T. Ng: Finding Intensional Knowledge of Distance-Based Outliers. VLDB 1999 : 211-222 H. V. Jagadish , Olga Kapitskaia , Raymond T. Ng, Divesh Srivastava : Multi-Dimensional Substring Selectivity Estimation. VLDB 1999 : 387-398 Raymond T. Ng: Review - Clustering Categorical Data: An Approach Based on Dynamical Systems ACM SIGMOD Digital Review 1 : (1999) Jiawei Han , Laks V. S. Lakshmanan , Raymond T. Ng: Constraint-Based Multidimensional Data Mining. IEEE Computer 32 (8): 46-50 (1999) Raymond T. Ng, Dominic Tam : Multilevel Filtering for High-Dimensional Image Data: Why and How. IEEE Trans. Knowl. Data Eng. 11 (6): 916-928 (1999) Theodore Johnson , Ivy Kwok , Raymond T. Ng: Fast Computation of 2-Dimensional Depth Contours. KDD 1998 : 224-228 Raymond T. Ng, Laks V. S. Lakshmanan , Jiawei Han , Alex Pang : Exploratory Mining and Pruning Optimizations of Constrained Association Rules. SIGMOD Conference 1998 : 13-24 Carson Kai-Sang Leung , Raymond T. Ng: Multiresolution Subimage Similarity Matching for Large Image Databases. Storage and Retrieval for Image and Video Databases (SPIE) 1998 : 259-270 Carson Kai-Sang Leung , Raymond T. Ng: Multiscale Similarity Matching for Subimage Queries of Arbitrary Size. VDB 1998 : 243-264 Edwin M. Knorr , Raymond T. Ng: Algorithms for Mining Distance-Based Outliers in Large Datasets. VLDB 1998 : 392-403 Raymond T. Ng, Jiawei Han , Laks V. S. Lakshmanan : Editorial. Data Min. Knowl. Discov. 2 (3): 231-232 (1998) Raymond T. Ng, Paul Shum : Optimal Clip Ordering for Multi-Clip Queries. VLDB J. 7 (4): 239-252 (1998) Edwin M. Knorr , Raymond T. Ng: A Unified Notion of Outliers: Properties and Computation. KDD 1997 : 219-222 Edwin M. Knorr , Raymond T. Ng, David L. Shilvock : Finding Boundary Shape Matching Relationships in Spatial Data. SSD 1997 : 29-46 Raymond T. Ng, Dominic Tam : Analysis of Multilevel Color Histograms. Storage and Retrieval for Image and Video Databases (SPIE) 1997 : 22-33 Daniel Barbará , William DuMouchel , Christos Faloutsos , Peter J. Haas , Joseph M. Hellerstein , Yannis E. Ioannidis , H. V. Jagadish , Theodore Johnson , Raymond T. Ng, Viswanath Poosala , Kenneth A. Ross , Kenneth C. Sevcik : The New Jersey Data Reduction Report. IEEE Data Eng. Bull. 20 (4): 3-45 (1997) Raymond T. Ng: Semantics, Consistency, and Query Processing of Empirical Deductive Databases. IEEE Trans. Knowl. Data Eng. 9 (1): 32-49 (1997) Raymond T. Ng: Reasoning with Uncertainty in Deductive Databases and Logic Programs. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 5 (3): 261-316 (1997) Raymond T. Ng, Xiaomei Tian : Incremental Algorithms for Optimizing Model Computation Based on Partial Instantiation. J. Log. Program. 30 (3): 179-204 (1997) Dwifiandika S. Faulus , Raymond T. Ng: An expressive language and interface for image querying. Mach. Vis. Appl. 10 (2): 74-85 (1997) Yannis E. Ioannidis , Raymond T. Ng, Kyuseok Shim , Timos K. Sellis : Parametric Query Optimization. VLDB J. 6 (2): 132-151 (1997) Edwin M. Knorr , Raymond T. Ng: Extraction of Spatial Proximity Patterns by Concept Generalization. KDD 1996 : 347-350 Dwifiandika S. Faulus , Raymond T. Ng: EXQUISI: An Expressive Query Interface for Similar Images. Storage and Retrieval for Image and Video Databases (SPIE) 1996 : 215-226 Raymond T. Ng, Andishe Sedighian : Evaluating Multidimensional Indexing Structures for Images Transformed by Principal Component Analysis. Storage and Retrieval for Image and Video Databases (SPIE) 1996 : 50-61 Colin Bell , Anil Nerode , Raymond T. Ng, V. S. Subrahmanian : Implementing Deductive Databases by Mixed Integer Programming. ACM Trans. Database Syst. 21 (2): 238-269 (1996) Edwin M. Knorr , Raymond T. Ng: Finding Aggregate Proximity Relationships and Commonalities in Spatial Data Mining. IEEE Trans. Knowl. Data Eng. 8 (6): 884-897 (1996) Raymond T. Ng, Jinhai Yang : An Analysis of Buffer Sharing and Prefetching Techniques for Multimedia Systems. Multimedia Syst. 4 (2): 55-69 (1996) Raymond T. Ng, Xiaomei Tian : Incremental Methods for Optimizing Partial Instantiation. LPNMR 1995 : 287-301 Christos Faloutsos , Raymond T. Ng, Timos K. Sellis : Flexible and Adaptable Buffer Management Techniques for Database Management Systems. IEEE Trans. Computers 44 (4): 546-560 (1995) Anil Nerode , Raymond T. Ng, V. S. Subrahmanian : Computing Circumscriptive Databases: I. Theory and Algorithms Inf. Comput. 116 (1): 58-80 (1995) Dwight J. Makaroff , Raymond T. Ng: Schemes for Implementing Buffer Sharing in Continuous-Media Systems. Inf. Syst. 20 (6): 445-464 (1995) Jiawei Han , Yongjian Fu , Raymond T. Ng: Cooperative Query Answering Using Multiple Layered Databases. CoopIS 1994 : 47-58 Raymond T. Ng, Jiawei Han : Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994 : 144-155 Raymond T. Ng, Jinhai Yang : Maximizing Buffer and Disk Utilizations for News On-Demand. VLDB 1994 : 451-462 Raymond T. Ng, V. S. Subrahmanian : Stable Semantics for Probabilistic Deductive Databases Inf. Comput. 110 (1): 42-83 (1994) Colin Bell , Anil Nerode , Raymond T. Ng, V. S. Subrahmanian : Mixed Integer Programming Methods for Computing Nonmonotonic Deductive Databases. J. ACM 41 (6): 1178-1215 (1994) Raymond T. Ng: Semantics and Consistency of Empirical Databases. ICLP 1993 : 812-826 Colin Bell , Anil Nerode , Raymond T. Ng, V. S. Subrahmanian : Implementing Stable Semantics by Linear Programming. LPNMR 1993 : 23-42 Raymond T. Ng, V. S. Subrahmanian : A Semantical Framework for Supporting Subjective and Conditional Probabilities in Deductive Databases. J. Autom. Reasoning 10 (2): 191-235 (1993) Colin Bell , Anil Nerode , Raymond T. Ng, V. S. Subrahmanian : Implementing Deductive Databases by Linear Programming. PODS 1992 : 283-292 Raymond T. Ng, V. S. Subrahmanian : Empirical Probabilities in Monadic Deductive Databases. UAI 1992 : 215-222 Yannis E. Ioannidis , Raymond T. Ng, Kyuseok Shim , Timos K. Sellis : Parametric Query Optimization. VLDB 1992 : 103-114 Raymond T. Ng, V. S. Subrahmanian : Probabilistic Logic Programming Inf. Comput. 101 (2): 150-201 (1992) Raymond T. Ng, V. S. Subrahmanian : A Semantical Framework for Supporting Subjective and Conditional Probabilities in Deductive Databases. ICLP 1991 : 565-580 Raymond T. Ng, V. S. Subrahmanian : Relating Dempster-Shafer Theory to Stable Semantics. ISLP 1991 : 551-565 Raymond T. Ng, V. S. Subrahmanian : Stable Model Semantics for Probabilistic Deductive Databases. ISMIS 1991 : 162-171 Raymond T. Ng, Christos Faloutsos , Timos K. Sellis : Flexible Buffer Allocation Based on Marginal Gains. SIGMOD Conference 1991 : 387-396 Raymond T. Ng, V. S. Subrahmanian : Non-Monotonic Negation in Probabilistic Deductive Databases. UAI 1991 : 249-256 Christos Faloutsos , Raymond T. Ng, Timos K. Sellis : Predictive Load Control for Flexible Buffer Allocation. VLDB 1991 : 265-274 Timos K. Sellis , Nick Roussopoulos , Raymond T. Ng: Efficient compilation of large rule bases using logical access paths. Inf. Syst. 15 (1): 73-84 (1990) 1 [ 35 ] 2 [ 11 ] [ 13 ] [ 15 ] [ 26 ] 3 [ 57 ] [ 64 ] 4 [ 86 ] 5 [ 58 ] [ 76 ] 6 [ 72 ] 7 [ 35 ] 8 [ 2 ] [ 4 ] [ 22 ] [ 35 ] 9 [ 28 ] [ 31 ] 10 [ 19 ] 11 [ 55 ] 12 [ 35 ] 13 [ 18 ] [ 19 ] [ 40 ] [ 44 ] [ 47 ] [ 53 ] [ 54 ] [ 65 ] [ 71 ] [ 75 ] 14 [ 81 ] [ 82 ] 15 [ 35 ] 16 [ 83 ] [ 85 ] 17 [ 9 ] [ 30 ] [ 35 ] 18 [ 35 ] [ 49 ] [ 51 ] [ 56 ] [ 60 ] [ 67 ] [ 72 ] [ 87 ] 19 [ 35 ] [ 45 ] [ 59 ] [ 63 ] [ 77 ] 20 [ 80 ] 21 [ 49 ] [ 60 ] [ 66 ] 22 [ 81 ] [ 82 ] 23 [ 25 ] [ 29 ] [ 37 ] [ 38 ] [ 41 ] [ 50 ] [ 61 ] [ 70 ] 24 [ 72 ] 25 [ 72 ] 26 [ 57 ] [ 64 ] 27 [ 45 ] 28 [ 83 ] 29 [ 85 ] 30 [ 40 ] [ 44 ] [ 47 ] [ 53 ] [ 54 ] [ 59 ] [ 62 ] [ 63 ] [ 65 ] [ 71 ] [ 74 ] [ 77 ] [ 84 ] 31 [ 42 ] [ 43 ] [ 62 ] [ 74 ] [ 79 ] [ 84 ] 32 [ 68 ] 33 [ 51 ] 34 [ 53 ] 35 [ 20 ] 36 [ 79 ] 37 [ 72 ] 38 [ 11 ] [ 13 ] [ 15 ] [ 21 ] [ 26 ] 39 [ 87 ] 40 [ 68 ] 41 [ 68 ] 42 [ 44 ] [ 54 ] 43 [ 78 ] [ 80 ] 44 [ 35 ] 45 [ 35 ] 46 [ 1 ] 47 [ 57 ] [ 64 ] [ 73 ] 48 [ 27 ] 49 [ 1 ] [ 2 ] [ 4 ] [ 9 ] [ 22 ] [ 30 ] 50 [ 35 ] 51 [ 37 ] 52 [ 9 ] [ 30 ] 53 [ 39 ] 54 [ 73 ] 55 [ 49 ] [ 56 ] [ 60 ] [ 66 ] [ 72 ] 56 [ 3 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 15 ] [ 16 ] [ 21 ] [ 26 ] 57 [ 36 ] [ 46 ] 58 [ 23 ] [ 32 ] 59 [ 65 ] 60 [ 61 ] 61 [ 71 ] [ 87 ] 62 [ 69 ] 63 [ 77 ] 64 [ 52 ] [ 58 ] [ 76 ] 65 [ 17 ] [ 24 ] 66 [ 69 ] 67 [ 80 ] 68 [ 70 ] 69 [ 77 ]  ©2004 Association for Computing Machinery |
