Attribution

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Attribution

The assignment of cause. For example, if one attributes a statement to a CEO, one says the CEO made the statement. Likewise, if one attributes a market bounce to GDP growth, one says the GDP growth caused the bounce.
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Let A be a non-empty set of uni-dimensional attributes A = {[a.sub.1], [a.sub.2], ..., [a.sub.m]}, m [greater than or equal to] 1; and [alpha] [member of] A be a given attribute whose spectrum of all possible values (or states) is the non-empty set S, where S can be a finite discrete set, S = {[s.sub.1], [s.sub.2], .., [s.sub.1]}, 1 [less than or equal to] l < [infinite]), or infinitely countable set S = {[s.sub.1], [s.sub.2], ..., [s.sub.[infinity]]}, or infinitely uncountable (continuum) set S = ]a,b[ a < b, where ] ...
Let V be a non-empty subset of S, where V is the range of all attribute's values needed by the experts for their application.
You also need to analyse what additional attributes might be required, and how those attributes will be populated when you take the existing data across from the old system.
Regarding Tables as attributes, a caveat here would be to use meaningful names for tables which will save any confusion when using tools such as SQL to interrogate data.
Measurable attribute presented explicitly: Chest Problem- The weight of a silver chest is 210 pounds.
MMM of a Quantity, 210 pounds Measurable Magnitude of Measuring unit attribute the quantity Weight 210 Pound In the Chest Problem, the measurable attribute is explicitly mentioned in the word problem.
TIGER: ATTRIBUTE: Valour BORN: 2010, 1998, 1986, 1974, 1962 THIS YEAR: You may face problems this year but it's nothing you haven't dealt with before; you're immune to them now.
Currently, there is seldom research on integrating the decision matrix with the experts' subjective preference information on attribute weights [21].
Given an entity set R which is defined as definition 2, the common attribute value types include string, numerical, enumeration, and date.
The neural network proves helpful in offering the non-linear solution to the problem, as it can enhance the resolution of derived attribute volumes and the predictive powers as well.
When using the model based on attribute synthetic evaluation system, the value of evaluation index and attribute measure influence the assessment results directly.
To solve this problem, we use users' locations as a special attribute [16] and divide other attributes into groups to reduce the probability of privacy attack from the malicious hackers.