E-Book, Englisch, Band 35, 494 Seiten, eBook
Reihe: Advances in Database Systems
ISBN: 978-0-387-09690-2
Verlag: Springer US
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
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.