{
"item_title" : "Advances in Probabilistic Databases for Uncertain Information Management",
"item_author" : [" Zongmin Ma", "Li Yan "],
"item_description" : "1 Research in Probabilistic Spatiotemporal Databases: The SPOT Framework.-2 A Probabilistic Object-Oriented Database Model with Fuzzy Measures.-3 Probabilistic XML: Models and Complexity.-4 Uncertain Data: Representations, Query Processing, and Applications.-5 A Theoretically-Sound Approach for OLAPing Uncertainand Imprecise Multidimensional Data Streams.-6 Tractable Probabilistic Description Logic Programs. ",
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Advances in Probabilistic Databases for Uncertain Information Management
by Zongmin Ma and Li Yan
Other Available Formats
Overview
1 Research in Probabilistic Spatiotemporal Databases:
The SPOT Framework.-
2 A Probabilistic Object-Oriented Database Model with
Fuzzy Measures.-
3 Probabilistic XML: Models and Complexity.-
4 Uncertain Data: Representations, Query Processing,
and Applications.-
5 A Theoretically-Sound Approach for OLAPing Uncertain
and Imprecise Multidimensional Data Streams.-
6 Tractable Probabilistic Description Logic Programs.
This item is Non-Returnable
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Details
- ISBN-13: 9783642375088
- ISBN-10: 3642375081
- Publisher: Springer
- Publish Date: April 2013
- Dimensions: 9.21 x 6.14 x 0.44 inches
- Shipping Weight: 0.92 pounds
- Page Count: 161
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