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

There are numbers from 1 to n, which are inverted such that it results in numbers from n to 1. If only two consecutive numbers are stampled at a time and are inverted, how many moves are required?

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