MCA-301 Data Mining May 2024 Past Paper PDF

## MCA-301 ### M.C.A. III Semester (Two Year Course) Examination, May 2024 Data Mining Time: Three Hours Maximum Marks: 70 **Note:** - Attempt any five questions. - All questions carry equal marks. - In case of any doubt or dispute the English version question should be treated as final. **1**...

## MCA-301 ### M.C.A. III Semester (Two Year Course) Examination, May 2024 Data Mining Time: Three Hours Maximum Marks: 70 **Note:** - Attempt any five questions. - All questions carry equal marks. - In case of any doubt or dispute the English version question should be treated as final. **1** a) With a neat diagram explain data warehouse architecture. b) Explain the various steps involved in knowledge discovery. **2** a) Give the differences between Operational Database Systems and Data Warehouse. b) Explain data cube technology and discuss about different schemas in data mining. **3** a) Discuss the activities of data cleaning with the process associated with it. b) Define Data processing. What is the need of data processing? Explain various forms of data processing. **4** Write Apriori algorithm and using the algorithm find all frequent item sets for the following databases. (Min_sup = 20%) | TID | List of item_IPs | |---|---| | 1 | a, b, e | | 2 | b, d | | 3 | b, c | | 4 | a, b, d | | 5 | a, c | | 6 | b, c | | 7 | a, c | | 8 | a, b, c, e | | 9 | a, b, c | **5** a) Explain various alternative methods for generating frequent item sets. b) Explain different clustering methods with suitable example. **6** a) Explain outlier analysis with example. b) What is Prediction? Explain the need of predictive analysis in data mining. **7** a) Explain Association rule mining with example. b) Discuss multilevel association rules with examples. **8** Write a short notes on the following. - OLAP - Support and confident - Concept and class description