01187nas a2200145   4500008004100000245004700041210004700088300001400135490000700149520075000156100002000906700001800926700001900944856007800963       2017                        eng d00aSurvey on using constraints in data mining0 aSurvey on using constraints in data mining  a424–4640 v313 aThis paper provides an overview of the current state-of-the-art on using constraints in knowledge discovery and data mining. The use of constraints in a data mining task requires specific definition and satisfaction tools during knowledge extraction. This survey proposes three groups of studies based on classification, clustering and pattern mining, whether the constraints are on the data, the models or the measures, respectively. We consider the distinctions between hard and soft constraint satisfaction, and between the knowledge extraction phases where constraints are considered. In addition to discussing how constraints can be used in data mining, we show how constraint-based languages can be used throughout the data mining process.1 aGrossi, Valerio1 aRomei, Andrea1 aTurini, Franco  uhttps://kdd.isti.cnr.it/publications/survey-using-constraints-data-mining