Knowledge Discovery in Inductive Databases 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bonchi, Francesco (Editor), Boulicaut, Jean-François (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
• Series: Lecture Notes in Computer Science, 3933
• Subjects: Computer science.; Data structures (Computer science).; Database management.; Artificial intelligence.; Computer Science.; Data Structures, Cryptology and Information Theory.; Database Management.; Artificial Intelligence (incl. Robotics).

The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, 2005 in conjunction with the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases. Ever si...

Table of Contents:

• Invited Papers
• Data Mining in Inductive Databases
• Mining Databases and Data Streams with Query Languages and Rules
• Contributed Papers
• Memory-Aware Frequent k-Itemset Mining
• Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data
• Experiment Databases: A Novel Methodology for Experimental Research
• Quick Inclusion-Exclusion
• Towards Mining Frequent Queries in Star Schemes
• Inductive Databases in the Relational Model: The Data as the Bridge
• Transaction Databases, Frequent Itemsets, and Their Condensed Representations
• Multi-class Correlated Pattern Mining
• Shaping SQL-Based Frequent Pattern Mining Algorithms
• Exploiting Virtual Patterns for Automatically Pruning the Search Space
• Constraint Based Induction of Multi-objective Regression Trees
• Learning Predictive Clustering Rules.