Knowledge Discovery in Inductive Databases

Inhaltsverzeichnis

• 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.