Daniel P. Miranker is a Full Professor, in the Department of Computer Science at the University of Texas at Austin, where he has taught since 1986. He holds degrees in Computer Science and Mathematics from Columbia University and MIT. Starting with his Ph.D. dissertation, a consistent theme in Miranker’s research is a focus on parallel and distributed processing of large-scale databases in concert with applications in knowledge-base systems and machine learning. Miranker has made fundamental contributions in the areas of search and pattern matching as they are applied to biological data, knowledge-base systems and parallel and distributed databases.
- J.F. Sequeda and D.P. Miranker, “Mapping Relatiional Databases to Linked Data”, in Eds. A. Harth, K. Hose and R. Schenkael, “Linked Data Management”, CRC Press, May 2014
- D. P. Miranker, R. Bayardo, V. Samoladis, “Query Evaluation as Constraint Search; An Overview of Early Results,” in, V. Gaede, A. Brodsky, O. Günther, D. Srivastava, V. Vianu, M. Wallace (Eds.): "Constraint Databases and Their Applications," Second International Workshop on Constraint Database Systems, CDB ‘97, 1997, CP ‘96 Workshop on Constraints and Databases, Selected Papers. Lecture Notes in Computer Science 1191 Springer 1997.
- S. J. Stolfo and D. P. Miranker, “DADO: A Parallel Processor for Expert Systems,” in Computers for Artificial Intelligence Applications," eds. Wah and Li, IEEE Computer Society Press 1986,
- S. J. Stolfo and D. P. Miranker, “DADO: A Processor for AI Computation,” in Annual Reviews of Computer Science, (ed. Traub), Annual Reviews, Inc., 1986.
- S. J. Stolfo and D. P. Miranker, “DADO: A Parallel Processor for Expert Systems,” in Advanced Computer Architecture, (ed. Agarwal), IEEE Computer Society Press 1985
“TREAT: A New and Efficient Match Algorithm for AI Production Systems,” Publisher, Pittman, Morgan-Kaufman, 1990.
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