Download 1. the technique used for both the preliminary investigation of the

1.________________is the technique used for both the preliminary investigation of
the data and the final data analysis.
[
A)Aggregation
B)Feature creation C)Sampling
D)Binarization
2. The Feature subset selection is used _________ approaches effectively
[
A)Brute-force approach B)Embedded approaches:
C)A&B
D)None of these
3. ____________is the technique creates new attributes that can capture the important
information in a data set much more efficiently than the original attributes
[
A)Aggregation
B)Feature creation C)Sampling
D)Feature Creation
4._______________is the methodology used in Feature creation
[
A)Feature Extraction B)Feature Construction
C)A&B
D)None of these
5. Decision tree induction is an_______ approach for building classification models
[
A) Clusters B) A nonparametric
C) Informal
D) Classification
6. The border between two neighboring regions of different classes is known as a______
[
A)Decision boundary B) Parent boundary C) Child boundary D) neighboring boundary
7. ______induction provides another way to partition the data into homogeneous
nonrectangular regions
[
A)Files induction B) Entities induction C) Constructive induction D) All of these
8.The estimated error helps the learning algorithm to do_________selection
[
A) Model selection B) Estimated selection C) Algorithm selection D) Extend selection
9.The difference in entropy is known as the________
[
A) Information gain B) Induction gain C) Constructive gain D) Entropy gain
10. Data mining tasks are generally divided into _____ major categories
[
A) two B) three C) five D) ten
11. _analysis is used to discover patterns that describe strongly associated features in the data
[
A) Cluster B) Classification C) Association
D) None
12. A data set can often be viewed as a collection of __________________________.
[
A) Clusters B) Records C) Data Objects
D) None
13. Much data mining work assumes that the data set is a collection of_________
[
A) Graphs
B)Records
C) A&B
D) None
14. A__________ transformation refers to a transformation that is applied to
all the values of a variable.
15._________ is selecting a group of cells from the entire multidimensional array by specifying a
specific value for one or more dimensions.
16.____ the nodes each of which has exactly one incoming edge and more outgoing edges
[
A)Terminal Nodes
B)Internal Nodes C)Leaf
D)A&C
17.The test condition for a _______________generates two potential outcomes
[
A)Binary B)Nominal
C)Ordinal
D)None of these
18.The Input Data For A Classification Task Is A Collection Of _________
[
A) Files B) Entities C) Records
D) All Of These
19. The Target Function Is Also Known Informally As A ______
[
A) Clusters B) Classification Model
C) Informal Function
D) None of the above
20. In which preprocessing technique multiple data sources may be combined
[
A)Data cleaning
B) Data Transformation
C) Data Selection
D) Data Integration
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]
]