Exam 14: Data Mining

Exhibit 14-3 Information for 26 colleges and universities in the state of Indiana is provided in the table below.  The following questions contain a sequence of steps for executing the K-Means Clustering Method. ​  -Refer to Exhibit 14-3 Finally,calculate the minimum total distance to the cluster centers and use Evolutionary Solver to optimize the model.Describe the clusters that are formed.​

If the probability of a restaurant being successful is 10% then the odds of it failing are 10 to 1.

SQL Server Analysis Services (SSAS)concentrates on which types of data mining

Which of the following is not a classification method

Exhibit 14-3 Information for 26 colleges and universities in the state of Indiana is provided in the table below.  The following questions contain a sequence of steps for executing the K-Means Clustering Method. ​  -Refer to Exhibit 14-3 Determine the distances for each college or university to each cluster center.​

Exhibit 14-3 Information for 26 colleges and universities in the state of Indiana is provided in the table below.  The following questions contain a sequence of steps for executing the K-Means Clustering Method. ​  -Refer to Exhibit 14-3 Next determine to which of the trial cluster centers each college or university would be assigned.​

Business analytics,while important,is only a part of the area of data mining.

Naive Bayes method assumes probabilistic independence across characteristics which means that the joint probability is the product of the probabilities of the individual characteristics.

When classifying rare events,it is inadvisable to oversample.

Specificity,a measure of classification accuracy,reflects: (regard class 1 as yes and class 2 as no)