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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:
An important first step to the statistical analysis of data is to "get to know your data". The following tasks should contribute to this. (a) To the right of the dataset cons
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What are the aggregate objects in the data dictionary? Views Match codes Lock objects.
Define weak and strong entity sets? Weak entity set: entity set that do not have key attribute of their own are known as weak entity sets. Strong entity set
Explain Record Based Logical Models? Record-Based logical Models: Also define data at the conceptual and view levels. Unlike object-oriented models, are used to state overall
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Why containment is important in oosystems? Containment is an significant concept in oosystems because it allows dissimilar users to view data at different granularities.
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