Q.1
In a transactional database, EVERY transaction includes a transaction identity number.
  • True
  • False
Q.2
Data Matrix, Document Data and Transaction Data are examples of which type of data set?
  • Record
  • Graph
  • Numerical
  • Ordered
Q.3
Zip codes and click counts are ____________.
  • Continuous Attributes
  • Dynamic Attributes
  • Discrete Attributes
  • High Class Attributes
Q.4
Association technique identifies attributes that occur frequently together in a given data set.
  • True
  • False
Q.5
In a k-NN algorithm, similarity of records is based on the closeness of a record to numerical predictors in the other records.
  • True
  • False
Q.6
Spam filtering for e-mails is an example of classification approach of data mining
  • True
  • False
Q.7
The effectiveness of a classification rule can be judged making a probability of misclassification errors and summarizing the results in a .
  • classification matrix
  • classification hierarchy
  • dendogram
  • classification algorithm
Q.8
The market share of a business would be considered a lagging measure in the cause-and- effect modeling of data mining.
  • True
  • False
Q.9
In association analysis, the antecedent and consequent are sets of items that do not have any items in common.
  • True
  • False
Q.10
The problem of finding hidden structure in unlabled data is
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Machine learning
Q.11
Task of inferring model from a labeled trained data is
  • Unsupervised learning
  • Reinforcement learning
  • Supervised learning
  • None
Q.12
Data mining helps to determine what kind of people buy what kind of products. This belongs to which field?
  • Cross Market Analysis
  • Target Marketing
  • Customer Profiling
  • Customer Requirements
Q.13
______ are used in retail sales to identify patterns that are frequently purchased together.
  • Classification
  • Regression
  • Association
  • Clustering
Q.14
A college professor wishes to reach a certain level of savings before her retirement. This is related to which data mining task?
  • Clustering
  • Regression
  • Association
  • Classification
Q.15
In the average linkage clustering, the distance between two clusters is defined as the average of distances between all pairs of objects, where each pair is made up of one object from each group.
  • True
  • False
Q.16
Data mining is
  • Actual discovery phase of knowledge of KDD
  • Stage of selecting right data in KDD
  • Transformation phase of data in KDD
  • All the above
Q.17
In cluster analysis, the objects within clusters should exhibit a high amount of dissimilarity.
  • True
  • False
Q.18
A grocery store retailer is trying to decide whether to put bread on sale. This is related to which data mining task?
  • Association
  • Outlier analysis
  • Summarization
  • Prediction
Q.19
___________ is a data-mining technique used for classifying a set of observations into predefined classes
  • Logistic regression
  • k-NN algorithm
  • Discriminant analysis
  • Linear regression
Q.20
Text database can be ___________
  • A. unstructured
  • B. semi-structured
  • C. well-structured
  • Both A and B
  • A, B, C
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