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Previous Year Exam Questions for Data Mining And Data Warehousing - DMDW of 2017 - bput by Verified Writer

  • Data Mining And Data Warehousing - DMDW
  • 2017
  • PYQ
  • Biju Patnaik University of Technology BPUT - BPUT
  • Information Technology Engineering
  • B.Tech
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Registration No: Total Number of Pages: 02 B.Tech PIT5H002 5th Semester Regular Examination 2017-18 Data Mining & Dataware Housing BRANCH: IT Time: 3 Hours Max Marks: 100 Q.CODE : B477 Answer Question No.1 and 2 which are compulsory and any four from the rest. The figures in the right hand margin indicate marks. Q1 a) b) c) d) e) f) g) h) Answer the following questions: multiple type or dash fill up type What are the criteria on the basis of which classification and prediction can be compared? i) Speed ii) Accuracy iii) Robustness iv) Scalability A) Both i and ii B) i, ii, and iii C) i, ii, iv D) All of the above __________ is a subject-oriented, integrated, time-variant, non-volatile collection of data in support of management decisions. A. Data Mining. B. Data Warehousing. C. Web Mining. D. Text Mining. The data is stored, retrieved & updated in ____________. A. OLAP. B. OLTP. C. SMTP. D. FTP. Which of the following is a predictive model? A. Clustering. B. Regression. C. Summarization. D. Association rules. Link Analysis is otherwise called as ___________. A. affinity analysis. B. association rules. C. both A & B. D. Prediction. In web mining, _______ is used to find natural groupings of users, pages, etc. A. clustering. B. associations. C. sequential analysis. D. classification. In a feed- forward networks, the connections between layers are ___________ from input to output. A. bidirectional. B. unidirectional. C. multidirectional. D. directional. The mutation operator ______. (2x10)

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i) j) Q2 a) b) c) d) e) f) g) A. recombine the population's genetic material. B. introduce new genetic structures in the population. C. to modify the population's genetic material. D. All of the above. __________ clustering techniques starts with all records in one cluster and then try to split that cluster into small pieces. A. Agglomerative. B. Divisive. C. Partition. D. Numeric. Data mining can also applied to other forms such as ________ i) Data streams ii) Sequence data iii) Networked data iv) Text data v) Spatial data A) i, ii, iii and v only B) ii, iii, iv and v only C) i, iii, iv and v only D) All i, ii, iii, iv and v Answer the following questions: Short answer type Define Data Warehouse? Compare MOLAP and ROLAP. Define Multimedia Database. What is knowledge discovery in Database (KDD). (2x10) h) i) j) List the short comings of K-means algorithm clustering algorithm. List at least three issues in data mining. Point out the major difference between the star schema and the snowflake schema? What are the social impart of data mining? List out at least four social impact of data mining. Differentiate between classification and clustering. a) Explain major issues in Data Mining. (10) b) List and discuss the data mining task primitives. (5) a) Define metadata with respect to data warehouse. Explain the three-tier data warehouse architecture. (10) b) Discuss the components of data warehouse. (5) a) Write OLAP characteristics and perform a comparative study between OLTP and OLAP. How is a data warehouse different from a database? How are they similar? (10) Briefly discuss OLAP operation in multidimensional data and differentiate MOLAP, ROLAP and HOLAP. Explain Genetic algorithm and also the various operators used in GA. (10) (10) b) Briefly explain back-propagation algorithm which classifies data into appropriate class. Explain the basic algorithm for inducing a Decision tree from training samples. Q8 a) b) Discuss in brief application of data mining in banking and commerce area. Discuss cluster detection data mining technique and give a suitable example. (10) (5) Q9 a) Write short notes on any TWO : i) Mining the World Wide Web i) Hypercube ii) From Data Warehousing to Data Mining Briefly discuss text mining. (10) Q3 Q4 Q5 b) Q6 a) b) Q7 a) b) (5) (5) (5) (5)

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