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Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach [Repost]
![Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach [Repost]](https://pixhost.icu/avaxhome/a9/cd/007bcda9.jpg)
Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science)
by Christian Bessiere, Luc De Raedt, Lars Kotthoff
ISBN: 3319501364 | 364 pages | PDF | 2017 | English | 12 Mb
A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge.
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