Data Mining MCQ Questions

Data Mining MCQ Questions | Freshers & Experienced

  • Sharad Jaiswal
  • 19th May, 2021

We are introducing here the best Data Mining MCQ Questions, which are very popular & asked various times. This Quiz contains the best 25+ Data Mining MCQ with Answers, which cover the important topics of data mining so that, you can perform best in data mining exams or interviews.

Data Mining MCQ Questions and Answers

1) __________ are the functions of Data Mining.

  • A. Prediction and characterization
  • B.Association and correctional analysis classification
  • C.Cluster analysis and Evolution analysis
  • D.All of the above

2) What is KDD in data mining?

  • A. Knowledge data house
  • B.Knowledge Data definition
  • C.Knowledge Discovery Database
  • D.Knowledge Discovery Data

3) ________ is the clustering technique which needs the merging approach.

  • A. Naïve Bayes
  • B.Hierarchical
  • C.Partitioned
  • D.All of the above

4) How many categories of functions are included in Data Mining?

  • A. 2
  • B.4
  • C.6
  • D.8

5) The classification of the data mining system involves____________.

  • A. Machine learning
  • B.Database technology
  • C.Information Science
  • D.All of the above

6) What is data mining ?

  • A. Data mining is a process of extracting and discovering patterns in large data sets.
  • B.Data mining is the process of finding correlations within large data sets.
  • C.Data mining is a process used to extract usable data from a larger set of any raw data.
  • D.All of the above

7) ________ are the Data mining Application ?

  • A. Market Basket Analysis.
  • B.Fraud Detection.
  • C.Both A and B
  • D.None of the above

8) ________ are the types of Data mining ?

  • A. Web mining
  • B.Text mining
  • C.Video mining
  • D.All of the above

9) _________ refers to the sequence of pattern that occurs frequently.

  • A. Frequent sub-structure
  • B.Frequent sub-sequence
  • C.Frequent sub-items
  • D.None of the above

10) "Handling the rational and complex types of data" comes under _______ category.

  • A. Mining methodology and user interaction Issues
  • B.Performance issues
  • C.Diverse Data Type
  • D.None of the above

11) The steps of the knowledge discovery process, in which the several data sources are combined refers to ________.

  • A. Data transformation
  • B.Data integration
  • C.Data cleaning
  • D.None of the above

12) Data cleaning is used as the first step in the knowledge discovery process?

  • A. True
  • B.False

13) _________ is used by the E-R model to represent the weak entities.

  • A. Dotted rectangle
  • B.Diamond
  • C.Doubly outlined rectangle
  • D.None of the above

14) _________ must be considered before investing in data mining.

  • A. Functionality
  • B.Compatibility
  • C.Vendor consideration
  • D.All of the above

15) Which among the following is a data mining tool.

  • A. Orange Data Mining
  • B.SAS Data Mining
  • C.DataMelt Data Mining
  • D.All of the above

16) Which among the following are the significant components of data mining systems?

  • A. Data mining engine
  • B.Graphical user interface
  • C.Knowledge base
  • D.All of the above

17) Knowledge base guides the search or evaluates the stake of the result patterns. True/False?

  • A. True
  • B.False

18) ________ module communicates between the data mining system and the user.

  • A. Pattern Evaluation Module
  • B.Knowledge Base
  • C.Graphical User Interface
  • D.None of the above

19) ________ module is primarily responsible for the measure of investigation of the pattern by using a threshold value.

  • A. Knowledge Base
  • B.Pattern Evaluation Module
  • C.Graphical User Interface
  • D.None of the above

20) The main objective of the KDD process is to abstract the information from data in the context of large databases.

  • A. True
  • B.False

21) KDD process is consists of _______ steps.

  • A. 4
  • B.9
  • C.7
  • D.5

22) Who founded the term Knowledge Discovery in Databases or KDD?

  • A. Bernard Marr
  • B.Ilya Piatetski-Shapiro
  • C.Gregory Piatetsky-Shapiro
  • D.None of the above

23) The term "Data Mining" was coined in which year?

  • A. 1991
  • B.1990
  • C.1989
  • D.1998

24) Which among the following is a Data Mining Algorithm?

  • A. K-mean Algorithm
  • B.Apriori Algorithm.
  • C.Naive Bayes Algorithm
  • D.All of the above

25) ________ is a data mining algorithm used by Google Search to rank web pages in their search engine results

  • A. K-mean Algorithm
  • B.PageRank Algorithm
  • C.Naive Bayes Algorithm
  • D.Adaboost Algorithm

26) ________ is a data mining algorithms used to create decision tree

  • A. K-mean Algorithm
  • B.PageRank Algorithm
  • C.C4. 5 Algorithm
  • D.Adaboost Algorithm

27) ________ are data mining methods.

  • A. Neural networks
  • B.Regression
  • C.Clustering
  • D.All of the above

28) Why data mining is important in CRM?

  • A. Data mining can help analyze and process the data.
  • B.Data mining provides a holistic view of the customer's life-cycle.
  • C.Data mining makes easier for the business to interact with customers and future clients.
  • D.All of the above

29) AdaBoost is one of the first boosting algorithms to be adapted in solving practices.

  • A. True
  • B.False

30) An algorithm in data mining is a set of heuristics and calculations that creates a model from data.

  • A. True
  • B.False

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