Constraint-Based Mining and Inductive Databases European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Boulicaut, Jean-François (Editor), Raedt, Luc De (Editor), Mannila, Heikki (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Series: Lecture Notes in Computer Science, 3848
• Subjects: Computer science.; Computers.; Database management.; Information storage and retrieval.; Artificial intelligence.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computation by Abstract Devices.; Database Management.; Information Storage and Retrieval.; Pattern Recognition.

Table of Contents:

• 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.