This paper provides an overview of the current state-of-theart 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.

Data mining and constraints: An overview

GROSSI, VALERIO;PEDRESCHI, DINO;TURINI, FRANCO
2016-01-01

Abstract

This paper provides an overview of the current state-of-theart 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.
2016
Grossi, Valerio; Pedreschi, Dino; Turini, Franco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/834141
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