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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Džeroski, Sašo (Επιμελητής έκδοσης), Goethals, Bart (Επιμελητής έκδοσης), Panov, Panče (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.