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

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.