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Titlebook: Industrial Engineering in the Big Data Era; Selected Papers from Fethi Calisir,Emre Cevikcan,Hatice Camgoz Akdag Conference proceedings 201

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An Optimization Model for Variable Ordering in Qualitative Constraint Propagationat are defined for the variables with known values by sign algebraic Karush-Kuhn-Tucker conditions. The optimization model and the qualitative activity analysis carried out can be applied to any constraint propagation problem where the variables have a limited set of values.
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Analyzing Pipe Production Fault Rates by Association Rules and Classification According to Working Cstand the current situation. Then, based on this information, various classification algorithms have been used for estimation. The higher accuracy of the prediction, the greater results will occur. Therefore, the accuracy of the classification algorithms is compared and the algorithm with the highest performance is achieved.
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Conference proceedings 2019GJCIE), held in Nevsehir, Turkey, on June 21-22, 2018. They reports on industrial engineering methods and applications, with a special focus on the advantages and challenges posed by Big data in this field.  The book covers a wide range of topics, including decision making, optimization, supply chai
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