Data Mining MCQs
Data Mining
1) The _____________ accessed is usually a different version
from that of the original operational database.
A) data B) Query C) Output D) None of these
Correct Ans: Data
A) data B) Query C) Output D) None of these
Correct Ans: Data
2) The ______________ of the data mining query probably is not a
subset of the database.
A) data B) Query C) Output D) None of these
Correct Ans: Output
A) data B) Query C) Output D) None of these
Correct Ans: Output
3) A ________________ makes a prediction about values of
data using known results found from different data.
A) Classification Model B) Regression Model C) descriptive model D) predictive model
Correct Ans: Predictive Model
A) Classification Model B) Regression Model C) descriptive model D) predictive model
Correct Ans: Predictive Model
4) A ______________ identifies patterns or relationships in data.
A) Classification Model B) Regression Model C) descriptive model D) predictive model
Correct Ans: Descriptive Model
A) Classification Model B) Regression Model C) descriptive model D) predictive model
Correct Ans: Descriptive Model
5) ______________ maps data into predefined groups or classes.
A) Classification B) Regression C) Clustering D) Summerisation
Correct Ans: Classification
A) Classification B) Regression C) Clustering D) Summerisation
Correct Ans: Classification
6) _______________ is a type of classification where an
input pattern is classified into one of several classes based on its similarity
to these predefined classes.
A) Regression B) Pattern recognition C) Association Rule D) None of these
Correct Ans: Pattern Recognition
A) Regression B) Pattern recognition C) Association Rule D) None of these
Correct Ans: Pattern Recognition
7) Regression is used to map a data item to a real valued
prediction variable
A) Classification B) Regression C) Clustering D) Summerization
Correct Ans: Regression
A) Classification B) Regression C) Clustering D) Summerization
Correct Ans: Regression
8) ______________ involves the learning of the function that
does mapping.
A) Classification B) Clustering C) Regression D) Summerization
Correct Ans: Regression
9) _______________ assumes that the target data fit into some known type of function.
A) Regression B) Classification C) Clustering D) Summerization
Correct Ans: Regression
10) _____________ , is the value of an attribute is examined as it varies over time.
A) Time series Analysis B) Classification C) Association D) Prediction
Correct Ans: Time Series Analysis
A) Classification B) Clustering C) Regression D) Summerization
Correct Ans: Regression
9) _______________ assumes that the target data fit into some known type of function.
A) Regression B) Classification C) Clustering D) Summerization
Correct Ans: Regression
10) _____________ , is the value of an attribute is examined as it varies over time.
A) Time series Analysis B) Classification C) Association D) Prediction
Correct Ans: Time Series Analysis
11) _______________ is similar to classification except that
the groups are not predefined, but rather defined by the data alone.
A) Time series Analysis B) Clustering C) Association D) Prediction
Correct Ans: Clustering
A) Time series Analysis B) Clustering C) Association D) Prediction
Correct Ans: Clustering
12) A special type of clustering is called________________.
A) Segmentation B) Generalization C) Characterization D) None of these.
Correct Ans: Segmentation
A) Segmentation B) Generalization C) Characterization D) None of these.
Correct Ans: Segmentation
13) ______________ maps data into subsets with associated
simple descriptions.
A) Sequential Analysis B) Summarization C) Link Analysis D) All of these
Correct Ans: Summarization
A) Sequential Analysis B) Summarization C) Link Analysis D) All of these
Correct Ans: Summarization
14) The KDD process is often said to be ______________.
A) Useful B) Potentially useful C) nontrivial D) All of these
Correct Ans: All of these
A) Useful B) Potentially useful C) nontrivial D) All of these
Correct Ans: All of these
15) Following is the important implementation issues
associated with data mining.
A) Human interaction B) overfitting C) Outliers D) All of these
Correct Ans: All of These
A) Human interaction B) overfitting C) Outliers D) All of these
Correct Ans: All of These
16) ROI means ________________.
A) Return on investment B) Return of information C) Both A & B D) None of these
Correct Ans: Return on investment
A) Return on investment B) Return of information C) Both A & B D) None of these
Correct Ans: Return on investment
17) DMQL means _______________.
A) Document Model Query language B) data mining query language
c) Data mining query level D) none of these
correct Ans: Data mining query language
A) Document Model Query language B) data mining query language
c) Data mining query level D) none of these
correct Ans: Data mining query language
18) A _____________ is a collection of data usually
associated with some organization or enterprise.
A) files B) reports C) Database D) query
Correct Ans: Database
A) files B) reports C) Database D) query
Correct Ans: Database
19) The query language may be based on ______________.
A) relational algebra B) Calculus C) both A & B D) None of these.
Correct Ans: Both A & B
A) relational algebra B) Calculus C) both A & B D) None of these.
Correct Ans: Both A & B
20) ______________ have been used in many computer science
and database areas.
A) Fuzzy sets B) Queries C) Fuzzy logic D) none of these
Correct Ans: Fuzzy sets
A) Fuzzy sets B) Queries C) Fuzzy logic D) none of these
Correct Ans: Fuzzy sets
21) _____________ is often defined as finding hidden information in a database.
A) Data warehouse B) Data mining C) Data Science D) Data Scanning
Correct Ans: Data Mining
22) Data
mining involves many different algorithms to accomplish different tasks.
A) Data
warehouse B) Data mining C) Data Science D) Data Scanning
Correct Ans: Data
Mining
23) Data
mining algorithms can be characterized as consisting of three parts:
A) Model B)
Preference C) Search D) All of the above
Correct Ans: All of
the above
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