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

List 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.

Product details

• Assisted by: Jean-Francois Boulicaut (Editor), Luc De Raedt (Editor), Heikki Mannila (Editor)
• Publisher: Springer, Berlin
• Content: Book
• Product form: Paperback / Softback
• Publication date: 25.01.2006
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT
• EAN: 9783540313311
• ISBN: 978-3-540-31331-1
• Pages: 404
• Illustrations: X, 404 p.
• Dimensions (packing): 15.5 x 23.4 x 2.5 cm
• Weight (packing): 694 g
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: C, Datenbanken, Artificial Intelligence, Mustererkennung, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Theoretische Informatik, computer science, Information Retrieval, Database Management, Theory of Computation, pattern recognition, database programming, Computers, Automated Pattern Recognition, Information Storage and Retrieval, Databases, Computation by Abstract Devices