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Amihai Motro

Affiliations: 
George Mason University, Washington, DC 
Area:
Computer Science
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"Amihai Motro"
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Parents

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Children

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Philipp Anokhin grad student 2001 George Mason
Aybar C. Acar grad student 2008 George Mason
Joshua Church grad student 2014 George Mason

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Publications

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Church J, Motro A. (2013) Efficient measurement of service similarity International Journal of Web Services Research. 10: 23-40
Acar AC, Motro A. (2011) Segmenting and labeling query sequences in a multidatabase environment Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7044: 367-384
Church J, Motro A. (2011) Which should we try first? Ranking information resources through query classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7022: 364-375
Acar AC, Motro A. (2010) Inferring user goals from sets of independent queries in a multidatabase environment Studies in Computational Intelligence. 265: 225-243
Acar AC, Motro A. (2009) Efficient discovery of join plans in schemaless data Acm International Conference Proceeding Series. 1-11
Motro A, Anokhin P. (2006) Fusionplex: Resolution of data inconsistencies in the integration of heterogeneous information sources Information Fusion. 7: 176-196
Berlin J, Motro A. (2006) TupleRank: Ranking discovered content in virtual databases Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4032: 13-25
Motro A, Parisi-Presicce F. (2005) Blind custodians: A database service architecture that supports privacy without encryption Lecture Notes in Computer Science. 3654: 338-352
Acar AC, Motro A. (2005) Intensional encapsulations of database subsets via genetic programming Lecture Notes in Computer Science. 3588: 365-374
Motro A, Anokhin P, Acar AC. (2004) Utility-based resolution of data inconsistencies Proceedings of the Acm Sigmod International Conference On Management of Data. 35-43
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