Managing and Mining Uncertain Data

Table of Contents

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   Book Overview
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   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