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In logic and computer science, unification is an algorithmic process of solving equations between symbolic expressions. ... A unification algorithm should compute for a given problem a complete, and minimal substitution set, that is, a set covering all its solutions, and containing no redundant members.
Unification is a process of making two different logical atomic expressions identical by finding a substitution. ... It takes two literals as input and makes them identical using substitution.
Data unification involves merging data from multiple sources and making them useful for developing business strategy. Doing so requires a process of collecting, cleaning, reduplicating and exporting millions of data points from multiple sources.
Unification is a process of making two different logical atomic expressions identical by finding a substitution. Unification depends on the substitution process. It takes two literals as input and makes them identical using substitution.
the process of unifying or uniting; union: the unification of the 13 original colonies. The state or condition of being unified: The unification of the manufacturing and distribution functions under one executive has advantages.
Most General Unifier. A substitution,, is a most general unifier (mug) of a set of expressions if it unifies, and for any unifier,, of, there is a unifier,, such that. The idea is that is less specific than (technically, no more specific than), that is, we can substitute for some variables of and get.
Explanation: To unify algorithm takes two sentences and returns a unifier if there is one in the sentence.
In logic and computer science, unification is an algorithmic process of solving equations between symbolic expressions. ... A unification algorithm should compute for a given problem a complete, and minimal substitution set, that is, a set covering all its solutions, and containing no redundant members.
Data unification involves merging data from multiple sources and making them useful for developing business strategy. Doing so requires a process of collecting, cleaning, reduplicating and exporting millions of data points from multiple sources. It's a task that requires human programmers and machine learning.
Data unification is the process of combining multiple, diverse data sets and preparing them for analysis by matching, reduplicating, and otherwise cleaning the records (Figure 1).
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