Data Mining

The problem of finding hidden structrures in unlabeled data is called:

• Supervised learning

• Unsupervised learning

• Candidate Generation

• None of the above

Which of the following is not a process in data mining?

• Knowledge extraction

• Cluster analysis

• Data exploration

• Data Transformation

Bayesian classifier is:

• A class of learning algorithm that employs posteriori properties in classification of a new record.

• Decision Tree Induction

• A class of learning algorithm that employs Gain Ratio in classification of a new record.

• None of the above

Classification Accuracy is:

• A subdivision of a set of examples into a number of classes

• Measure of the accuracy of the classification of a concept that is given by a certain theory

• The task of assigning classification to a set of examples

• None of the above

A cluster is

• A group of similar objects that differ significantly from other objects in a different group.

• Operation on a database to transform or simplify data in order to prepare it for a machine learning algorithm

• Symbolic representation of facts or ideas from which information can potentially be extracted

Assuming log base 2, the entropy of a binary feature with (# of Ys = 5 and # of Ns = 5) in a partition with 10 tuples is:

• 0

• 1

• 0.5

• None of the above

What is the equation to calculate Accuracy?

• (FP + FN) / (P + N)

• (TP) / (P)

• (TP + TN) / (P + N)

• (TP) / (TP + FP)

Which of the following statements is true assuming the confidence of a 2-itemset frquent pattenr (I1, I2) is 65% and the lift is 1.86%?

• I1 is correlated to I2

• I2 is correlated to I1

• a and b

• none of the above

Which of the following is an unsupervised data mining technique?

• Cluster analysis

• Feature extraction

• Frequent pattern mining

• All of the above

What is the equation to calculate Precision?

• (TN) / (P)

• (TP) / (P)

• (TP) / (TP + FP)

• (TP + TN) / (P + N)