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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 / edited by Jean-Francois Boulicaut

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Lecture notes in computer science ; 3848Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Description: Online-Ressource (X, 401 p. Also available online, digital)ISBN:
  • 9783540313519
Subject(s): Genre/Form: Additional physical formats: 9783540313311 | Buchausg. u.d.T.: Constraint-based mining and inductive databases. Berlin : Springer, 2005. X, 399 S.DDC classification:
  • 006.33
  • 006.3
  • 005.74
  • 620
MSC: MSC: *68-06 | 68P15 | 68T05 | 00B25LOC classification:
  • Q334-342 TJ210.2-211.495
  • QA76.9.D3
DOI: DOI: 10.1007/11615576Online resources: Summary: 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.PPN: PPN: 164666874XPackage identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB
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