Titlebook: Data Mining and Constraint Programming; Foundations of a Cro Christian Bessiere,Luc De Raedt,Dino Pedreschi Book 2016 Springer Internationa

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/262927.jpg

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Data Mining and Constraints: An Overviewquires 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.

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Advanced Portfolio Techniques problems more efficient, as surveyed in the previous chapter. In this chapter, we take a look at a detailed case study that leverages transformations between problem representations to make portfolios more effective, followed by extensions to the state of the art that make algorithm selection more robust in practice.

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978-3-319-50136-9Springer International Publishing AG 2016

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Data Mining and Constraint Programming978-3-319-50137-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

Malleable

Color Atlas of Fetal and Neonatal Histologyquires 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.

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Color Atlas of Fetal and Neonatal Histologyquires 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 d

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