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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
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    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
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    Chapter 16 Probabilistic Querying and Mining of Biological Images
Attention for Chapter 5: Trio A System for Data Uncertainty and Lineage
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Citations

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Chapter title
Trio A System for Data Uncertainty and Lineage
Chapter number 5
Book title
Managing and Mining Uncertain Data
Published by
Springer, Boston, MA, January 2009
DOI 10.1007/978-0-387-09690-2_5
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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Researcher 1 17%
Student > Ph. D. Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 4 67%
Social Sciences 1 17%
Unknown 1 17%

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