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Knowledge Discovery in Inductive Databases

Overview of attention for book
Cover of 'Knowledge Discovery in Inductive Databases'

Table of Contents

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    Book Overview
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    Chapter 1 Models and Indices for Integrating Unstructured Data with a Relational Database
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    Chapter 2 Constraint Relaxations for Discovering Unknown Sequential Patterns
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    Chapter 3 Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
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    Chapter 4 Theoretical Bounds on the Size of Condensed Representations
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    Chapter 5 Knowledge Discovery in Inductive Databases
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    Chapter 6 Database Transposition for Constrained (Closed) Pattern Mining
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    Chapter 7 An Efficient Algorithm for Mining String Databases Under Constraints
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    Chapter 8 An Automata Approach to Pattern Collections
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    Chapter 9 Implicit Enumeration of Patterns
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    Chapter 10 Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures
Attention for Chapter 3: Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
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