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Data blending allows business analysts to cope with the expansion of data that they need to make critical business decisions based on good quality business intelligence. [3] Data blending has been described as different from data integration due to the requirements of data analysts to merge sources very quickly, too quickly for any practical ...
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
A big list will constantly show you what words you don't know and what you need to work on and is useful for testing yourself. Eventually these words will all be translated into big lists in many different languages and using the words in phrase contexts as a resource.