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Constraint-based mining and inductive databases : European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004 : revised selected papers / Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila (eds.).

By: European Workshop on Inductive Databases and Constraint Based Mining (2004 : Hinterzarten, Germany)Contributor(s): Boulicaut, Jean-François | Raedt, Luc de, 1964- | Mannila, HeikkiMaterial type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 3848. | Lecture notes in computer science. Lecture notes in artificial intelligence. | Lecture notes in computer science. State-of-the-art survey.Publication details: Berlin ; New York : Springer, 2005. Description: 1 online resource (x, 399 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540313519; 3540313516; 3540313311; 9783540313311Other title: European Workshop on Inductive Databases and Constraint Based MiningSubject(s): Data mining -- Congresses | Database searching -- Congresses | Database management -- Congresses | Induction (Logic) -- Congresses | Bases de données -- Gestion -- Congrès | Bases de données -- Interrogation -- Congrès | Exploration de données (Informatique) -- Congrès | Induction (Logique) -- Congrès | COMPUTERS -- Database Management -- Data Mining | Database management | Induction (Logic) | Bases de données -- Gestion | Bases de données -- Interrogation | Exploration de données (Informatique) | Induction (Logique) | Data mining | Database searching | Informatique | Data mining | Database management | Database searching | Induction (Logic) | Inductive databases | Constraint based mining | informatieontsluiting | information retrieval | informatieopslag | information storage | computerwetenschappen | computer sciences | kunstmatige intelligentie | artificial intelligence | computational science | databasebeheer | database management | patroonherkenning | pattern recognition | Information and Communication Technology (General) | Informatie- en communicatietechnologie (algemeen)Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Constraint-based mining and inductive databases.DDC classification: 006.33 | 005.74 LOC classification: QA76.9.D343 | E87 2004Other classification: TP311. 13-532 Online resources: Click here to access online
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.
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Includes bibliographical references and index.

Print version record.

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.

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