Constraint-Based Mining and Inductive Databases [electronic resource] : European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers /
European Workshop on Inductive Databases and Constraint Based MiningCorporate Author
European Workshop on Inductive Databases and Constraint Based Mining(2004 :Hinterzarten, Germany)
Boulicaut, Jean-Francois.editor.
De Raedt, Luc.editor.
Mannila, Heikki.editor.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery -- A Relational Query Primitive for Constraint-Based Pattern Mining -- To See the Wood for the Trees: Mining Frequent Tree Patterns -- A Survey on Condensed Representations for Frequent Sets -- Adaptive Strategies for Mining the Positive Border of Interesting Patterns: Application to Inclusion Dependencies in Databases -- Computation of Mining Queries: An Algebraic Approach -- Inductive Queries on Polynomial Equations -- Mining Constrained Graphs: The Case of Workflow Systems -- CrossMine: Efficient Classification Across Multiple Database Relations -- Remarks on the Industrial Application of Inductive Database Technologies -- How to Quickly Find a Witness -- Relevancy in Constraint-Based Subgroup Discovery -- A Novel Incremental Approach to Association Rules Mining in Inductive Databases -- Employing Inductive Databases in Concrete Applications -- Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining -- Boolean Formulas and Frequent Sets -- Generic Pattern Mining Via Data Mining Template Library -- Inductive Querying for Discovering Subgroups and Clusters.
Artificial intelligence.
Computers.
Database management.
Information storage and retrieval.
Pattern recognition.
Artificial Intelligence.
Computation by Abstract Devices.
Database Management.
Information Storage and Retrieval.
Pattern Recognition.