• Unsupervised learning is essentially a synonym for
  1. clustering
  2. classification
  3. regression
  4. Support Vector Machines
• _____ __ _______ is a data field, representing a characteristic or feature of a data object, g., customer_ID, name, address.
  1. Data set
  2. Data action
  3. Application set
  4. Attribute
• Hardness of minerals (good, better, best), grades, street numbers are the examples of _______ ___ ____ type.

1. 1. ordinal attribute
   2. nominal attribute
   3. interval attribute
   4. ratio attribute

• Which of the following is NOT a major task in data pre-processing?

1. 1. Data cleaning
   2. Data sorting
   3. Data transformation
   4. Data integration

• Which of the following is NOT a data reduction technique?

1. 1. Dimensionality reduction
   2. Numerosity reduction
   3. Data compression
   4. Normalization

• The leaf of a decision tree hold a/an:

1. 1. class prediction
   2. rule
   3. classifier
   4. information gain

• __ ____ ____ is a collection of data objects with similar to one another with in same group and dissimilar to the objects to the objects in other groups and do not have predicative nature.

1. 1. Regression
   2. Support Vector machine
   3. Clustering
   4. Naive Bayes

• In order to modify k-means algorithm to diminish sensitivity to outliers is to calculate

1. 1. mean
   2. median
   3. mode
   4. medoids

• In __ __ ___ __ algorithm, each cluster is represented by the center of the cluster.

1. 1. k-medoid
   2. k-means
   3. STIRR
   4. ROCK