Managing and Mining Uncertain Data

Editors:

ISBN: 978-0-387-09689-6 (Print) 978-0-387-09690-2 (Online)

Table of contents (18 chapters)

  1. Front Matter

    Pages 1-20

  2. No Access

    Book Chapter

    Pages 1-8

    An Introduction to Uncertain Data Algorithms and Applications

  3. No Access

    Book Chapter

    Pages 1-34

    Models for Incomplete and Probabilistic Information

  4. No Access

    Book Chapter

    Pages 1-31

    Relational Models and Algebra for Uncertain Data

  5. No Access

    Book Chapter

    Pages 1-36

    Graphical Models for Uncertain Data

  6. No Access

    Book Chapter

    Pages 1-35

    Trio A System for Data Uncertainty and Lineage

  7. No Access

    Book Chapter

    Pages 1-34

    MayBMS A System for Managing Large Probabilistic Databases

  8. No Access

    Book Chapter

    Pages 1-36

    Uncertainty in Data Integration

  9. No Access

    Book Chapter

    Pages 1-33

    Sketching Aggregates over Probabilistic Streams

  10. No Access

    Book Chapter

    Pages 1-41

    Probabilistic Join Queries in Uncertain Databases

  11. No Access

    Book Chapter

    Pages 1-26

    Indexing Uncertain Data

  12. No Access

    Book Chapter

    Pages 1-24

    Querying Uncertain Spatiotemporal Data

  13. No Access

    Book Chapter

    Pages 1-34

    Probabilistic XML

  14. No Access

    Book Chapter

    Pages 1-18

    On Clustering Algorithms for Uncertain Data

  15. No Access

    Book Chapter

    Pages 1-19

    On Applications of Density Transforms for Uncertain Data Mining

  16. No Access

    Book Chapter

    Pages 1-33

    Frequent Pattern Mining Algorithms with Uncertain Data

  17. No Access

    Book Chapter

    Pages 1-28

    Probabilistic Querying and Mining of Biological Images

  18. Back Matter

    Pages 1-3