Managing and Mining Uncertain Data
Springer-Verlag New York Inc.
978-0-387-09689-6 (ISBN)
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.
Reihe/Serie | Advances in Database Systems ; 35 |
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Zusatzinfo | 60 Illustrations, black and white; XXII, 494 p. 60 illus. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Schlagworte | Data Mining |
ISBN-10 | 0-387-09689-2 / 0387096892 |
ISBN-13 | 978-0-387-09689-6 / 9780387096896 |
Zustand | Neuware |
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