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Re-appear MCA IV (Fourth) Semester Examination 2014-15 Course Code:MCA415 Paper ID:X874415 Data Ware Housing and Data Mining Time: 3 Hours Max. Marks: 70 Note: Attempt six questions in all. Q. No. 1 is compulsory. 1. a) b) c) d) e) f) g) h) Answer any five of the following (limit your answer in 50 words). (4x5=20) What do you mean by the data mining? Explain term Data preprocessing in mining systems. Discuss integration of a data mining systems with data warehouse systems. Define the term the data descretization. Explain the classification by decision tree induction in detail. What are types of data in cluster analysis? What do you mean by association? What are applications of Data mining? 2. a) b) Discuss the major issues in data mining. (5) Discuss integration of a data mining systems with a database. (5) 3. What do you mean by classifications? Write down its methods. (10) 4. What do you mean by Cluster Analysis? Write down major clustering methods. (10) 5. a) b) What is data cleaning? Write down its steps. Explain the multidimensional data model in detail. 6. a) Write down process involved in mining World Wide Web. (5) Write down process involved mining spatial database. (5) b) (5) (5) 7. 8. What do you mean by Prediction? Write down the step of calculating accuracy and error measures. (10) Write short notes on any two of the following: a) OLAM b) Prediction c) Descriptive data summarization (5+5)