Managing and Mining Uncertain Data

1. An Introduction to Uncertain Data Algorithms and Applications
Charu C. Aggarwal

2. Models for Incomplete and Probabilistic Information
Todd J. Green

3. Relational Models and Algebra for Uncertain Data
Sumit Sarkar, Debabrata Dey

4. Graphical Models for Uncertain Data
Amol Deshpande, Lise Getoor, Prithviraj Sen

5. Trio A System for Data Uncertainty and Lineage
Jennifer Widom

6. MAYBMS: A System for Managing Large Probabilistic Databases
Christoph Koch

7. Uncertainty in Data Integration
Anish Das Sarma, Xin Dong, Alon Halevy

8. Sketching Aggregates over Probabilistic Streams
Erik Vee

9. Probabilistic Join Queries in Uncertain Databases
Hans-Peter Kriegel, Thomas Bernecker, Matthias Renz, Andreas Zuefle

10. Indexing Uncertain Data
Sunil Prabhakar, Rahul Shah, Sarvjeet Singh

11. Rangeandnearestneighborquerieson Uncertain Spatiotemporal Data
Yufei Tao

12. Probabilistic XML
Edward Hung

13. On Clustering Algorithms for Uncertain Data
Charu C. Aggarwal

14. On Applications of Density Transforms for Uncertain Data Mining
Charu C. Aggarwal

15. Frequent Pattern Mining Algorithms with Uncertain Data
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang

16. Probabilistic Querying and Mining of Biological Images
Vebjorn Ljosa, Ambuj K. Singh

Avainsanat: Computer Science, Data Mining and Knowledge Discovery, Database Management, Artificial Intelligence (incl. Robotics), Information Storage and Retrieval, Systems and Data Security, Information Systems Applications (incl.Internet)