Q.1
OLAP stands for ________.
  • Online Analytical Processing
  • Online Linear Analytical Processing
  • Online Analytical Problem
Q.2
The partition of overall data warehouse is _______.
  • database
  • data cube
  • data mart
  • operational data.
Q.3
Which of the following is NOT one of the processes in Data Preprocessing?
  • Feature creation
  • Sampling
  • Discriminization
  • Aggregation
Q.4
Which of the following is the right approach to Data Mining?
  • Infrastructure, exploration, analysis, exploitation, interpretation
  • Infrastructure, exploration, analysis, interpretation, exploitation
  • Infrastructure, analysis, exploration, interpretation, exploitation
  • None of these
Q.5
Firms that are engaged in sentiment mining are analyzing data collected from?
  • experiments.
  • social media sites.
  • focus groups.
  • in-depth interviews.
Q.6
Suppose one wants to predict the number of newborns according to the size of storks' population by performing supervised learning. The following given statement can be considered as an example of?
  • Structural equation modeling
  • Clustering
  • Regression
  • Classification
Q.7
All of the following are types of Data Sets EXCEPT:
  • Graph
  • Ordered
  • Record
  • Numerical
Q.8
Which of the following applied on warehouse?
  • write only
  • read only
  • both a & b
  • none of these
Q.9
The issues like efficiency, scalability of data mining algorithms comes under ________
  • Performance issues
  • Diverse data type issues
  • Mining methodology and user interaction
  • All of the above
Q.10
23.) Data matrix is often called a one-mode matrix.
  • True
  • False
Q.11
Discriminating between spam and correct email is a
  • Clustering
  • Segmentatiin
  • Classification
  • Regression
Q.12
__________ may be defined as the data objects that do not comply with the general behavior or model of the data available.
  • Outlier Analysis
  • Evolution Analysis
  • Prediction
  • Classification
Q.13
____ refers to the mapping or classification of a class with some predefined group or class.
  • Data Discrimination
  • Data Characterization
  • Data Definition
  • Data Visualization
Q.14
Which of the following correctly defines the term "Discovery"?
  • It is hidden within a database and can only be recovered if one is given certain clues (an example IS encrypted information).
  • An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.
  • It is a kind of process of executing implicit, previously unknown and potentially useful information from data
  • None of the above
Q.15
What is the use of data cleaning?
  • to remove the noisy data
  • correct the inconsistencies in data
  • transformations to correct the wrong data.
  • All of the above
Q.16
In certain cases, it is not clear what kind of pattern need to find, data mining should_____:
  • Try to perform all possible tasks
  • Perform both predictive and descriptive task
  • It may allow interaction with the user so that he can guide the mining process
  • All of the above
Q.17
Which of the following statement is true about classification?
  • It is a measure of accuracy
  • It is a subdivision of a set
  • It is the task of assigning a classification
  • None of the above
Q.18
Which of the following is not involving data mining
  • Knowledge discovery
  • Data archaeology
  • Data exploration
  • Data transformation
Q.19
____________ is the main technique employed for data selection.
  • Change of scale
  • Preprocessing
  • Sampling
  • Discretization
Q.20
Metadata describes __________.
  • contents of database
  • structure of contents of database
  • structure of database.
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