Buch, Englisch, Band 35, 494 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 774 g
Reihe: Advances in Database Systems
Buch, Englisch, Band 35, 494 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 774 g
Reihe: Advances in Database Systems
ISBN: 978-1-4419-3517-5
Verlag: Springer US
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
An Introduction to Uncertain Data Algorithms and Applications.- Models for Incomplete and Probabilistic Information.- Relational Models and Algebra for Uncertain Data.- Graphical Models for Uncertain Data.- Trio A System for Data Uncertainty and Lineage.- MayBMS A System for Managing Large Probabilistic Databases.- Uncertainty in Data Integration.- Sketching Aggregates over Probabilistic Streams.- Probabilistic Join Queries in Uncertain Databases.- Indexing Uncertain Data.- Querying Uncertain Spatiotemporal Data.- Probabilistic XML.- On Clustering Algorithms for Uncertain Data.- On Applications of Density Transforms for Uncertain Data Mining.- Frequent Pattern Mining Algorithms with Uncertain Data.- Probabilistic Querying and Mining of Biological Images.