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Name the metrics for selecting top algorithm
There are a number of metrics for selecting top algorithm:
i) Computational complexity: Computational complexity refers to efficiency. The processor time increases as a function of size of data structure. But small factors of inefficiency are unimportant if they improve clarity.
ii) Ease of use: a simple algorithm, which is easy to use and understand, could be used for less important operations.
iii) Flexibility: The fully optimized algorithm is normally less readable and very hard to implement. The solution for this is to provide two implementations of the crucial operations:
Saving Derived Attributes to Avoid Re-computation Data that is derived from other data should be stored in the computed form to avoid re-computation. For this, we could define
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Define cardinality and participation constraints on a relationship type, completeness constraint on generalization. Ans: Cardinality defines the number of entities to wh
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Give the forms of triggers? The triggering event can be insert or delete. For updated the trigger can state columns. The referencing old row as clause The referencing
Breaking into Subsystems Decomposition is a significant technique for coping with complexity based on idea of divide and conquers. In dividing a problem into sub problems, the
what is union compatable?
What is average response time? The average response time is that the average time for a transaction to be done after it has been submitted.
What are referential integrity constraints? A value that appears in single relation for a given set of attributes also appears for a particular set of attributes in another rel
explain various steps uses in evaluation and maintenance of MIS.
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