How To Exam?

a knowledge trading engine...


B.E-B.E Computer Engineering 8th Sem Business Intelligence and Data Mining(Gujarat Technological University-2013)

Thursday, 30 May 2013 09:19Pooja Gupta
Seat No.:34


Enrolment No.


GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER VIII • EXAMINATION - SUMMER - 2013 Subject code: 183103                                                                                         Date: 09-05-2013

Subject Name: Business Intelligence & Data Mining Time: 10:30 pm to 01:00 pm                                                                                                      Total Marks: 70

Instructions:

1.      Attempt all questions.

2.      Make suitable assumptions wherever necessary.

3.      Figures to the right indicate full marks.

Q.1 (a) Explain process of Knowledge Discovery.                                                                07

(b) Explain differences between operational database systems 07 and data warehouse


Q.2 (a) Explain three tier Data Warehousing Architecture.                                                 07

(b) What is Business Intelligence and How it is related to Data 07 Mining.


OR

(b) Explain Different OLAP Operations on Multidimensional
Data.



07


Q.3 (a) What is classification and prediction? Explain issues 07 regarding classification and prediction.

(b) Explain Apriori Algorithm in Detail. Find All Frequent Item 07 set using Apriori Algorithm.(Take minimum support count 2 )


TID

ITEMS

T001

I1,I3,I4

T002

I2, I3, I5

T003

I1, I2, I3, I5

T004

I2, I5

OR

Q.3 (a) Explain Algorithm to find Frequent itemset without 07 generating candidate set .

(b) Explain Data Mining Functionalities.                                                                    07

Q.4 (a) Explain : Data warehouse, Frequent itemset, Minimum 07 support count

(b) Write down Applications of Business Intelligence.                                              07

OR

Q.4 (a) Answer the following questions :                                                                                07

i.        How data warehouse is different from database. How they are similar?

ii.       What are the similarities and differences between Concept Description and OLAP.

iii.     Explain Supervise and unsupervised learning using example .

Q.4 (b) Explain prepruning and postpruining in Decision tree 07 Induction. Why it is Require?


Q.5 (a) Explain Data Mining Issues Related to Performance & 07 Diversity of Data types.

(b) Explain Bayesian classification and Rule based 07 Classification.

OR

Q.5 (a) Explain linear regression and non linear regression using 07 example.

(b) Write Short note on ARCS .                                                                                     07


*************


 


( 0 Votes )

Add comment


Security code
Refresh

Earning:  ₹ 5.00/-
You are here: PAPER B.E-B.E Computer Engineering 8th Sem Business Intelligence and Data Mining(Gujarat Technological University-2013)