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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:
Question (a) Differentiate between the following terms: (i) Distributed Database v/s Distributed Database management System (ii) Homogeneous Distributed Database v/s Hete
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Determine the minimal set of functional dependencies for the following data. This table is part of the OHSU database of extracurricular activities and tracks the DMICE band's co
Use the IRIS dataset that comes with Weka to compare the classification performance of the following algorithms. 1. NaiveBayesSimple 2. MultiLayerPerceptron J48 (
What are the disadvantages of file-processing system? Ans: The Disadvantages of File-Processing System a. Data redundancy and inconsistency - Data redundancy means not nece
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how to calculate frequency count of algorithm
Explain the ISA relationship Answer: ISA relationship - ISA notation is employed in generalization/ specialization to depict relationship among lower and higer level entity s
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