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Inductive Databases and Constraint-Based Data Mining
This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are t...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2010.
|
| Edición: | 1st ed. 2010. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Inductive Databases and Constraint-based Data Mining: Introduction and Overview
- Representing Entities in the OntoDM Data Mining Ontology
- A Practical Comparative Study Of Data Mining Query Languages
- A Theory of Inductive Query Answering
- Constraint-based Mining: Selected Techniques
- Generalizing Itemset Mining in a Constraint Programming Setting
- From Local Patterns to Classification Models
- Constrained Predictive Clustering
- Finding Segmentations of Sequences
- Mining Constrained Cross-Graph Cliques in Dynamic Networks
- Probabilistic Inductive Querying Using ProbLog
- Inductive Databases: Integration Approaches
- Inductive Querying with Virtual Mining Views
- SINDBAD and SiQL: Overview, Applications and Future Developments
- Patterns on Queries
- Experiment Databases
- Applications
- Predicting Gene Function using Predictive Clustering Trees
- Analyzing Gene Expression Data with Predictive Clustering Trees
- Using a Solver Over the String Pattern Domain to Analyze Gene Promoter Sequences
- Inductive Queries for a Drug Designing Robot Scientist.