Title | Data Mining and Constraints: An Overview |
Publication Type | Book Chapter |
Year of Publication | 2016 |
Authors | Grossi, V, Pedreschi, D, Turini, F |
Book Title | Data Mining and Constraint Programming |
Pagination | 25–48 |
Publisher | Springer International Publishing |
Abstract | This paper provides an overview of the current state-of-the-art on using constraints in knowledge discovery and data mining. The use of constraints requires mechanisms for defining and evaluating them during the knowledge extraction process. We give a structured account of three main groups of constraints based on the specific context in which they are defined and used. The aim is to provide a complete view on constraints as a building block of data mining methods. |
DOI | 10.1007/978-3-319-50137-6_2 |