egerton university
EGC2011_04052010
Effortless Data Exploration with zenvisage: An Expressive and
Effortless Data Exploration with zenvisage: An
Effiziente Integration von Data- und Graph-Mining-Algorithmen in relationale Datenbanksysteme
Efficiently Mining Asynchronous Periodic Patterns
Efficiently Maintaining Structural Associations of Semistructured Data
Efficiently Learning the Accuracy of Labeling Sources for Selective
Efficiently Exploring Multilevel Data with Recursive Partitioning.
Efficient Visualization of Large
Efficient Updating of Discovered Patterns for Text Mining: A Survey
Efficient Tree Based Structure for Mining Frequent Pattern
Efficient Support for Time Series Queries in Data Stream
Efficient Streaming Classification Methods
Efficient storage and querying of sequential patterns in - delab-auth
Efficient similarity-based data clustering by optimal object to cluster
Efficient Runtime Generation of Association Rules
Efficient Relevance Feedback for Content
Efficient Privacy Preserving Secure ODARM Algorithm in
Efficient Pattern Mining of Uncertain Data with Sampling
