[Front cover]
[Inside front cover]
Guest Editors' Introduction: Special Section on Mining Large Uncertain and Probabilistic Databases
Mining Frequent Subgraph Patterns from Uncertain Graph Data
Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
Scalable Probabilistic Similarity Ranking in Uncertain Databases
Effectively Indexing the Uncertain Space
An Information-Theoretic Foundation for the Measurement of Discrimination Information
Completely Lazy Learning
Credibility: How Agents Can Handle Unfair Third-Party Testimonies in Computational Trust Models
Flexible Frameworks for Actionable Knowledge Discovery
Managing Multidimensional Historical Aggregate Data in Unstructured P2P Networks
Personalizing Web Directories with the Aid of Web Usage Data
TKDE Information for authors
[Back cover]