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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.)
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.)
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, : Springer, 2005
Descrizione fisica 1 online resource (X, 404 p.)
Disciplina 005.74
Altri autori (Persone) BoulicautJean-Francois
RaedtLuc de <1964->
MannilaHeikki
Collana Lecture notes in computer science. Lecture notes in artificial intelligence
Soggetto topico Database management
Database searching
Data mining
ISBN 3-540-31351-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
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.
Altri titoli varianti European Workshop on Inductive Databases and Constraint Based Mining
Record Nr. UNINA-9910484838003321
Berlin, : Springer, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Inductive logic programming : 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009 : revised papers / / Luc De Raedt (ed.)
Inductive logic programming : 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009 : revised papers / / Luc De Raedt (ed.)
Edizione [1st ed.]
Pubbl/distr/stampa New York, : Springer, 2010
Descrizione fisica 1 online resource (XII, 257 p.)
Disciplina 005.1/15
Altri autori (Persone) RaedtLuc de <1964->
Collana LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in artificial intelligence
Soggetto topico Logic programming
ISBN 1-280-38744-0
9786613565365
3-642-13840-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge-Directed Theory Revision -- Towards Clausal Discovery for Stream Mining -- On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics -- Induction of Relational Algebra Expressions -- A Logic-Based Approach to Relation Extraction from Texts -- Discovering Rules by Meta-level Abduction -- Inductive Generalization of Analytically Learned Goal Hierarchies -- Ideal Downward Refinement in the Description Logic -- Nonmonotonic Onto-Relational Learning -- CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods -- Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals -- Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples -- ProGolem: A System Based on Relative Minimal Generalisation -- An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge -- Boosting First-Order Clauses for Large, Skewed Data Sets -- Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages -- Transfer Learning via Relational Templates -- Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data -- Finding Relational Associations in HIV Resistance Mutation Data -- ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries -- Parameter Screening and Optimisation for ILP Using Designed Experiments -- Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models -- Policy Transfer via Markov Logic Networks -- Can ILP Be Applied to Large Datasets?.
Record Nr. UNINA-9910484003603321
New York, : Springer, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui