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  3. Data Mining
Mining Coverage Statistics for Websource Selection in a Mediator
Mining Coverage Statistics for Websource Selection in a Mediator
Mining Correlations on Massive Bursty Time Series Collections
Mining Correlations on Massive Bursty Time Series Collections
Mining Contextual Preferences in Data Streams
Mining Contextual Preferences in Data Streams
Mining Confident Minimal Rules with Fixed
Mining Confident Minimal Rules with Fixed
Mining complex models from arbitrarily large databases in constant
Mining complex models from arbitrarily large databases in constant
Mining Comparative Sentences and Relations
Mining Comparative Sentences and Relations
Mining Colossal Frequent Patterns by Core Pattern Fusion∗
Mining Colossal Frequent Patterns by Core Pattern Fusion∗
Mining Coherent Gene Clusters from Gene-Sample-Time Microarray Data Daxin Jiang Jian Pei
Mining Coherent Gene Clusters from Gene-Sample-Time Microarray Data Daxin Jiang Jian Pei
Mining Big Data - Academic Science,International Journal of
Mining Big Data - Academic Science,International Journal of
Mining Audit Data to Build Intrusion Detection Models Wenke Lee
Mining Audit Data to Build Intrusion Detection Models Wenke Lee
MINING ASSOCIATION RULES IN GEOGRAPHICAL SPATIO-TEMPORAL DATA
MINING ASSOCIATION RULES IN GEOGRAPHICAL SPATIO-TEMPORAL DATA
Mining Association Rules from Large Datasets Prediction K.Srinivas , G.Raghavendra Rao
Mining Association Rules from Large Datasets Prediction K.Srinivas , G.Raghavendra Rao
Mining Association Rules with Item Constraints Ramakrishnan
Mining Association Rules with Item Constraints Ramakrishnan
MINING APPROXIMATE FUNCTIONAL DEPENDENCIES AS CONDENSED REPRESENTATIONS OF ASSOCIATION RULES by
MINING APPROXIMATE FUNCTIONAL DEPENDENCIES AS CONDENSED REPRESENTATIONS OF ASSOCIATION RULES by
Mining Approximate Functional Dependencies and Concept Similarities to Answer Imprecise Queries
Mining Approximate Functional Dependencies and Concept Similarities to Answer Imprecise Queries
Mining Approximate Functional Dependencies (AFDs) as Condensed Representations of Association Rules
Mining Approximate Functional Dependencies (AFDs) as Condensed Representations of Association Rules
Mining and Summarizing Customer Reviews - UIC
Mining and Summarizing Customer Reviews - UIC
Mining and Summarizing Customer Reviews
Mining and Summarizing Customer Reviews
Mining and Querying Multimedia Data Fan Guo Sep 19, 2011
Mining and Querying Multimedia Data Fan Guo Sep 19, 2011
Mining and Filtering Multi-level Spatial Association Rules with ARES
Mining and Filtering Multi-level Spatial Association Rules with ARES
Mining Airfare Data to Minimize Ticket Purchase Price
Mining Airfare Data to Minimize Ticket Purchase Price
Mining a large web corpus - International Internet Preservation
Mining a large web corpus - International Internet Preservation
Mining Segment-Wise Periodic Patterns in Time-Related Databases
Mining Segment-Wise Periodic Patterns in Time-Related Databases
Mining Patterns for Document Retrieval by
Mining Patterns for Document Retrieval by