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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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Lo trovi qui: Univ. Federico II | ||
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