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Francesco Bonchi and Jean-François Boulicaut
Front matter
1-23
Data Mining in Inductive Databases
24-37
Mining Databases and Data Streams with Query Languages and Rules
38-54
Memory-Aware Frequent k-Itemset Mining
55-71
Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data
72-85
Experiment Databases: A Novel Methodology for Experimental Research
86-103
Quick Inclusion-Exclusion
104-123
Towards Mining Frequent Queries in Star Schemes
124-138
Inductive Databases in the Relational Model: The Data as the Bridge
139-164
Transaction Databases, Frequent Itemsets, and Their Condensed Representations
165-187
Multi-class Correlated Pattern Mining
188-201
Shaping SQL-Based Frequent Pattern Mining Algorithms
202-221
Exploiting Virtual Patterns for Automatically Pruning the Search Space
222-233
Constraint Based Induction of Multi-objective Regression Trees
234-250
Learning Predictive Clustering Rules
Back matter
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