We briefly introduce the notion of an inductive database, explain its relation to constraint-based data mining, and illustrate it on an example.We then discuss constraints and constraint-based data mining in more detail, followed by a discussion on knowledge discovery scenarios. We further give an overview of recent developments in the area, focussing on those made within the IQ project, that gave rise to most of the chapters included in this volume. We finally outline the structure of the book and summarize the chapters, following the structure of the book. © 2010 Springer Science+Business Media, LLC.
CITATION STYLE
Džeroski, S. (2010). Inductive databases and constraint-based data mining: Introduction and overview. In Inductive Databases and Constraint-Based Data Mining (pp. 3–26). Springer New York. https://doi.org/10.1007/978-1-4419-7738-0_1
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