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Note: Links lead to the DBLP on the Web. Daniel P. Miranker Luay Nakhleh , Daniel P. Miranker, Francois Barbancon , William H. Piel , Michael Donoghue : Requirements of Phylogenetic Databases. BIBE 2003 : 141-148 Rui Mao , Weijia Xu , Neha Singh , Daniel P. Miranker: An Assessment of a Metric Space Database Index to Support Sequence Homology. BIBE 2003 : 375- Daniel P. Miranker, Weijia Xu , Rui Mao : MoBIoS: A Metric-Space DBMS to Support Biological Discovery. SSDBM 2003 : 241-244 Daniel P. Miranker: Metric-Space Indexes as a Basis for Scalable Biological Databases. OMICS 7 (1): 57-60 (2003) Francois Barbancon , Daniel P. Miranker: Implementing Federated Databases Systems by Compiling SchemaSQL. IDEAS 2002 : 192-201 Daniel P. Miranker, Malcolm C. Taylor , Anand Padmanaban : A Tractable Query Cache by Approximation. SARA 2002 : 140-151 Joseph M. Hellerstein , Elias Koutsoupias , Daniel P. Miranker, Christos H. Papadimitriou , Vasilis Samoladas : On a model of indexability and its bounds for range queries. J. ACM 49 (1): 35-55 (2002) Lane Warshaw , Daniel P. Miranker: Rule-Based Query Optimization, Revisited. CIKM 1999 : 267-275 Vasilis Samoladas , Daniel P. Miranker: A Lower Bound Theorem for Indexing Schemes and Its Application to Multidimensional Range Queries. PODS 1998 : 44-51 Daniel P. Miranker, Roberto J. Bayardo Jr. , Vasilis Samoladas : Query Evaluation as Constraint Search; An Overview of Early Results. CDB 1997 : 53-63 Lance Obermeyer , Daniel P. Miranker: Evaluating Triggers Using Decision Trees. CIKM 1997 : 144-150 Daniel P. Miranker, Vasilis Samoladas : Alamo: An Architecture for Integrating Heterogeneous Data Sources. KRDB 1997 : 14.1-14.8 Roberto J. Bayardo Jr. , Daniel P. Miranker: A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem. AAAI/IAAI, Vol. 1 1996 : 298-304 Lane Warshaw , Daniel P. Miranker: A Case Study of Venus and a Declarative Basis for Rule Modules. CIKM 1996 : 317-325 Roberto J. Bayardo Jr. , Daniel P. Miranker: Processing Queries for First Few Answers. CIKM 1996 : 45-52 Daniel P. Miranker, Lance Obermeyer : An Overview of the VenusDB Active Multidatabase System. CODAS 1996 : 108-117 Shiow-yang Wu , Daniel P. Miranker, James C. Browne : Decomposition Abstraction in Parallel Rule Languages. IEEE Trans. Parallel Distrib. Syst. 7 (11): 1164-1184 (1996) Roberto J. Bayardo Jr. , Daniel P. Miranker: On the Space-Time Trade-off in Solving Constraint Satisfaction Problems. IJCAI 1995 : 558-562 David Gadbois , Daniel P. Miranker: Discovering Procedural Executions of Rule-Based Programs. AAAI 1994 : 459-464 Shiow-yang Wu , Daniel P. Miranker, James C. Browne : Toward Semantic-Based Parallelism in Production Systems. ICPADS 1994 : 752-758 James C. Browne , E. Allen Emerson , Mohamed G. Gouda , Daniel P. Miranker, Aloysius K. Mok , Roberto J. Bayardo Jr. , Sarah E. Chodrow , David Gadbois , F. Furman Haddix , Thomas W. Hetherington , Lance Obermeyer , Duu-Chung Tsou , Chih-Kan Wang , Rwo-Hsi Wang : A New Approach to Modularity in Rule-Based Programming. ICTAI 1994 : 18-25 Roberto J. Bayardo Jr. , Daniel P. Miranker: An Optimal Backtrack Algorithm for Tree-Structured Constraint Satisfaction problems. Artif. Intell. 71 (1): 159-181 (1994) David A. Brant , Daniel P. Miranker: Index Support for Rule Activation. SIGMOD Conference 1993 : 42-48 Benjamin W. Wah , Thomas S. Huang , Aravind K. Joshi , Dan I. Moldovan , Yiannis Aloimonos , Ruzena Bajcsy , Dana H. Ballard , Doug DeGroot , Kenneth DeJong , Charles R. Dyer , Scott E. Fahlman , Ralph Grishman , Lynette Hirschman , Richard E. Korf , Stephen E. Levinson , Daniel P. Miranker, N. H. Morgan , Sergei Nirenburg , Tomaso Poggio , Edward M. Riseman , Craig Stanfil , Salvatore J. Stolfo , Steven L. Tanimoto , Charles C. Weems : Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence. IEEE Trans. Knowl. Data Eng. 5 (1): 138-154 (1993) Mark Perlin , Jaime G. Carbonell , Daniel P. Miranker, Salvatore J. Stolfo , Milind Tambe : Is Production System Match Interesting? ICTAI 1992 : 2-3 David A. Brant , Timothy Grose , Bernie Lofaso , Daniel P. Miranker: Effects of Database Size on Rule System Performance: Five Case Studies. VLDB 1991 : 287-296 Daniel P. Miranker, Bernie J. Lofaso : The Organization and Performance fo a TREAT-Based Production System Compiler. IEEE Trans. Knowl. Data Eng. 3 (1): 3-10 (1991) Daniel P. Miranker: Special Issue on the Parallel Execution of Rule Systems. J. Parallel Distrib. Comput. 13 (4): 345-347 (1991) Chin-Ming Kuo , Daniel P. Miranker, James C. Browne : On the Performance of the CREL System. J. Parallel Distrib. Comput. 13 (4): 424-441 (1991) Daniel P. Miranker, David A. Brant , Bernie Lofaso , David Gadbois : On the Performance of Lazy Matching in Production Systems. AAAI 1990 : 685-692 Daniel P. Miranker, David A. Brant : An Algorithmic Basis for Integrating Production Systems and Large Databases. ICDE 1990 : 353-360 Daniel P. Miranker, Archie D. Andrews : On Balanced Synchronous Parallel Computers for AI. ICPP (1) 1990 : 489-493 Daniel P. Miranker, Chin-Ming Kuo , James C. Browne : Parallelizing Compilation of Rule-Based Programs. ICPP (2) 1990 : 247-251 Daniel P. Miranker: TREAT: A Better Match Algorithm for AI Production System Matching. AAAI 1987 : 42-47 Michael van Biema , Daniel P. Miranker, Salvatore J. Stolfo : The Do-loop Considered Harmful in Production System Programming. Expert Database Conf. 1986 : 177-190 Salvatore J. Stolfo , Daniel P. Miranker: The DADO Production System Machine. J. Parallel Distrib. Comput. 3 (2): 269-296 (1986) Daniel P. Miranker: Performance Estimates for the DADO Machine: A Comparison of Treat and Rete. FGCS 1984 : 449-457 Salvatore J. Stolfo , Daniel P. Miranker, David Elliot Shaw : Architecture and Applications of DADO: A Large-Scale Parallel Computer for Artificial Intelligence. IJCAI 1983 : 850-854 1 [ 15 ] 2 [ 7 ] 3 [ 15 ] 4 [ 15 ] 5 [ 34 ] [ 38 ] 6 [ 17 ] [ 18 ] [ 21 ] [ 24 ] [ 26 ] [ 29 ] 7 [ 4 ] 8 [ 8 ] [ 9 ] [ 13 ] [ 16 ] 9 [ 6 ] [ 10 ] [ 18 ] [ 19 ] [ 22 ] 10 [ 14 ] 11 [ 18 ] 12 [ 15 ] 13 [ 15 ] 14 [ 38 ] 15 [ 15 ] 16 [ 18 ] 17 [ 15 ] 18 [ 9 ] [ 18 ] [ 20 ] 19 [ 18 ] 20 [ 15 ] 21 [ 13 ] 22 [ 18 ] 23 [ 32 ] 24 [ 18 ] 25 [ 15 ] 26 [ 15 ] 27 [ 15 ] 28 [ 15 ] 29 [ 32 ] 30 [ 6 ] [ 10 ] 31 [ 15 ] 32 [ 9 ] [ 13 ] 33 [ 12 ] 34 [ 36 ] [ 37 ] 35 [ 18 ] 36 [ 15 ] 37 [ 15 ] 38 [ 38 ] 39 [ 15 ] 40 [ 18 ] [ 23 ] [ 28 ] 41 [ 33 ] 42 [ 32 ] 43 [ 14 ] 44 [ 38 ] 45 [ 15 ] 46 [ 15 ] 47 [ 27 ] [ 29 ] [ 30 ] [ 32 ] 48 [ 1 ] 49 [ 37 ] 50 [ 15 ] 51 [ 1 ] [ 3 ] [ 4 ] [ 14 ] [ 15 ] 52 [ 14 ] 53 [ 15 ] 54 [ 33 ] 55 [ 18 ] 56 [ 15 ] 57 [ 18 ] 58 [ 18 ] 59 [ 25 ] [ 31 ] 60 [ 15 ] 61 [ 19 ] [ 22 ] 62 [ 36 ] [ 37 ]  ©2004 Association for Computing Machinery |
