2011 - ACM Fellow For contributions to probabilistic databases and semistructured data.
2001 - Fellow of Alfred P. Sloan Foundation
His main research concerns Information retrieval, Query language, Theoretical computer science, XML database and XML. His Information retrieval study combines topics from a wide range of disciplines, such as Data management, Data mining and Database. In his research, Hidden Markov model is intimately related to Probabilistic logic, which falls under the overarching field of Database.
His Query language research incorporates themes from Spatial query, Web query classification, Programming language and Query optimization. The Theoretical computer science study combines topics in areas such as Social network, Relational database, Approximation algorithm and Pattern matching. His research investigates the connection with XML database and areas like Streaming XML which intersect with concerns in Efficient XML Interchange and XML validation.
Dan Suciu mainly investigates Theoretical computer science, Database, Information retrieval, Query language and Conjunctive query. Dan Suciu combines subjects such as P and Relational algebra with his study of Theoretical computer science. As a part of the same scientific family, he mostly works in the field of Database, focusing on Probabilistic logic and, on occasion, Data mining, Inference and Ranking.
His research in Information retrieval intersects with topics in XML validation, XML and XML database. In XML database, Dan Suciu works on issues like XML Schema Editor, which are connected to Efficient XML Interchange, Streaming XML and XML Base. His work carried out in the field of Query language brings together such families of science as Programming language, Spatial query, Web query classification, RDF query language and Query optimization.
His primary areas of investigation include Theoretical computer science, Conjunctive query, Tuple, Data mining and Database. His Theoretical computer science research is multidisciplinary, relying on both Programming language, Information theory, Relational algebra and Linear algebra. His studies in Conjunctive query integrate themes in fields like Discrete mathematics, Boolean conjunctive query, Query optimization, Algorithm and Massively parallel.
Dan Suciu interconnects Upper and lower bounds, Relational database and Measure in the investigation of issues within Tuple. His Data mining study also includes
Conjunctive query, Data mining, Discrete mathematics, Query optimization and Database are his primary areas of study. His study in Conjunctive query is interdisciplinary in nature, drawing from both Semantics, Algorithm, Tuple and Sargable. His research integrates issues of Probabilistic logic and Key in his study of Data mining.
His research investigates the connection between Query optimization and topics such as Query language that intersect with problems in Query by Example, Database theory, Data science, Language Integrated Query and Data definition language. Causal inference is closely connected to Component in his research, which is encompassed under the umbrella topic of Database. His study explores the link between Boolean conjunctive query and topics such as Negation normal form that cross with problems in Theoretical computer science.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Data on the Web: From Relations to Semistructured Data and XML
Serge Abiteboul;Peter Buneman;Dan Suciu.
Efficient query evaluation on probabilistic databases
Nilesh Dalvi;Dan Suciu.
very large data bases (2004)
Index Structures for Path Expressions
Tova Milo;Dan Suciu.
international conference on database theory (1999)
A query language and optimization techniques for unstructured data
Peter Buneman;Susan Davidson;Gerd Hillebrand;Dan Suciu.
international conference on management of data (1996)
Storing semistructured data with STORED
Alin Deutsch;Mary Fernandez;Dan Suciu.
international conference on management of data (1999)
XMill: an efficient compressor for XML data
Hartmut Liefke;Dan Suciu.
international conference on management of data (2000)
A query language for XML
Alin Deutsch;Mary Fernandez;Daniela Florescu;Alon Levy.
the web conference (1999)
Schema mediation in peer data management systems
A.Y. Halevy;Z.G. Ives;D. Suciu;I. Tatarinov.
international conference on data engineering (2003)
Adding Structure to Unstructured Data
Peter Buneman;Susan B. Davidson;Mary F. Fernandez;Dan Suciu.
international conference on database theory (1997)
Boosting the accuracy of differentially private histograms through consistency
Michael Hay;Vibhor Rastogi;Gerome Miklau;Dan Suciu.
very large data bases (2010)
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