Probabilistic Ranking Techniques in Relational Databases: Synthesis Lectures on Data Management
Autor Ihab Ilyas, Mohamed Solimanen Limba Engleză Paperback – 21 mar 2011
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Specificații
ISBN-13: 9783031007187
ISBN-10: 3031007182
Ilustrații: VIII, 71 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.15 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Data Management
Locul publicării:Cham, Switzerland
ISBN-10: 3031007182
Ilustrații: VIII, 71 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.15 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Data Management
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- Uncertainty Models.- Query Semantics.- Methodologies.- Uncertain Rank Join.- Conclusion.
Notă biografică
Ihab F. Ilyas is an Associate Professor of Computer Science at the University of Waterloo. He received his PhD in computer science from Purdue University, West Lafayette, in 2004. He holds BS and MS degrees in computer science from Alexandria University, Egypt. His main research is in the area of database systems, with special interest in top-k and rank-aware query processing, managing uncertain and probabilistic databases, self-managing databases, indexing techniques, and spatial databases. Mohamed A. Soliman is a software engineer at Greenplum, where he works on building massively distributed database systems for efficient support of data warehousing and analytics. He received his PhD in computer science from University of Waterloo in 2010. He holds BS and MS degrees in computer science from Alexandria University, Egypt. His main research is in the area of rank-aware retrieval in relational databases, focusing primarily on supporting ranking queries on uncertain and probabilistic data.