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Managing and Mining Uncertain Data

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Cover of 'Managing and Mining Uncertain Data'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to Uncertain Data Algorithms and Applications
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    Chapter 2 Models for Incomplete and Probabilistic Information
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    Chapter 3 Relational Models and Algebra for Uncertain Data
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    Chapter 4 Graphical Models for Uncertain Data
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    Chapter 5 Trio A System for Data Uncertainty and Lineage
  7. Altmetric Badge
    Chapter 6 MayBMS A System for Managing Large Probabilistic Databases
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    Chapter 7 Uncertainty in Data Integration
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    Chapter 8 Sketching Aggregates over Probabilistic Streams
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    Chapter 9 Probabilistic Join Queries in Uncertain Databases
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    Chapter 10 Indexing Uncertain Data
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    Chapter 11 Querying Uncertain Spatiotemporal Data
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    Chapter 12 Probabilistic XML
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    Chapter 13 On Clustering Algorithms for Uncertain Data
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    Chapter 14 On Applications of Density Transforms for Uncertain Data Mining
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    Chapter 15 Frequent Pattern Mining Algorithms with Uncertain Data
  17. Altmetric Badge
    Chapter 16 Probabilistic Querying and Mining of Biological Images
Attention for Chapter 6: MayBMS A System for Managing Large Probabilistic Databases
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Citations

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Chapter title
MayBMS A System for Managing Large Probabilistic Databases
Chapter number 6
Book title
Managing and Mining Uncertain Data
Published by
Springer, Boston, MA, January 2009
DOI 10.1007/978-0-387-09690-2_6
Book ISBNs
978-0-387-09689-6, 978-0-387-09690-2
Authors

Charu C. Aggarwal, Aggarwal, Charu C.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
France 2 7%
Greece 2 7%
Germany 1 3%
Bulgaria 1 3%
Unknown 21 72%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 28%
Researcher 7 24%
Student > Ph. D. Student 7 24%
Student > Bachelor 2 7%
Professor 2 7%
Other 2 7%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 25 86%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Agricultural and Biological Sciences 1 3%
Unknown 2 7%

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