Answer / john martin

The Microsoft Naive Bayes algorithm is a classification
algorithm provided by Microsoft SQL Server Analysis Services
for use in predictive modeling. The name Naive Bayes derives
from the fact that the algorithm uses Bayes theorem but does
not take into account dependencies that may exist, and
therefore its assumptions are said to be naive.

This algorithm is less computationally intense than other
Microsoft algorithms, and therefore is useful for quickly
generating mining models to discover relationships between
input columns and predictable columns. You can use this
algorithm to do initial explorations of data, and then later
you can apply the results to create additional mining models
with other algorithms that are more computationally intense
and more accurate.

Answer / parvendra

this algorithm is used to work on large databases

Explain the concept behind dead lock avoidance, banker's algorithm.

0 Answers   HPCL, Hughes Systique Corporation,

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Define Routing Algorithm?

0 Answers   Maveric,

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0 Answers   Aspire, Infogain,

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Given a sorted array of n integers that has been rotated i(unknown) number of times, give a (log n) algorithm that finds an element in the array.

0 Answers   Expedia,

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What are the disadvantages of breadth-first search algorithm?

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what is software cycle?give a diagramatic representation

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What is Back propagation in Neural Networks?

1 Answers  

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Give an algorithm for the following problem. Given a list of n distinct positive integers, partition the list into two sublists, each of size n/2, such that the difference between the sums of the integers in the two sublists is minimized. You may assume that n is a multiple of 2.

0 Answers  

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list the types of linked list with aid of diagram?

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How are the k-nearest neigh-bors (knn) algorithms different from k-means clustering?

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What is meant by a * search algorithm?

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Can you pick an algorithm. Write the psuedo-code for a parallel implementation?

0 Answers  

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