Knowledge Discovery in Inductive Databases

Contenu

Invited Paper.- Models and Indices for Integrating Unstructured Data with a Relational Database.- Contributed Papers.- Constraint Relaxations for Discovering Unknown Sequential Patterns.- Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data.- Theoretical Bounds on the Size of Condensed Representations.- Mining Interesting XML-Enabled Association Rules with Templates.- Database Transposition for Constrained (Closed) Pattern Mining.- An Efficient Algorithm for Mining String Databases Under Constraints.- An Automata Approach to Pattern Collections.- Implicit Enumeration of Patterns.- Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures.