[Front cover]
[Inside front cover]
A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity
Clustering with Local and Global Regularization
Continuous K-Means Monitoring with Low Reporting Cost in Sensor Networks
Discovering Transitional Patterns and Their Significant Milestones in Transaction Databases
Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases
Join of Multiple Data Streams in Sensor Networks
Locating XML Documents in a Peer-to-Peer Network Using Distributed Hash Tables
Pooling for Combination of Multilevel Forecasts
Privacy-Preserving Tuple Matching in Distributed Databases
Tuning On-Air Signatures for Balancing Performance and Confidentiality
Local Kernel Regression Score for Selecting Features of High-Dimensional Data
Manufacturing-Oriented Discrete Process Modeling Approach Using the Predicate Logic
IEEE Computer Society 2010 New Student Member Package
IEEE Computer Society Computing Now [advertisement]
TKDE Information for authors
[Back cover]