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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 / / edited by Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila



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Titolo: 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 / / edited by Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Edizione: 1st ed. 2006.
Descrizione fisica: 1 online resource (X, 404 p.)
Disciplina: 005.74
Soggetto topico: 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
Persona (resp. second.): BoulicautJean-Francois
De RaedtLuc
MannilaHeikki
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
Titolo autorizzato: Constraint-Based Mining and Inductive Databases  Visualizza cluster
ISBN: 3-540-31351-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466097903316
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Serie: Lecture Notes in Artificial Intelligence ; ; 3848