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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 ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]