Guru Gobind Singh Indraprastha Vishwavidyalaya 2007 B.C.A Computer Application Data Ware housing & Data Mining - Question Paper

Q1 Does a Data Mining access of data differs from the traditional access? Justify
your ans.
Q2 (a) elaborate the basic data mining taks? discuss them with examples.
(b) define what kinds of processing take place in a data ware housing.
Q3 Compare and contrast database, info retrieval and data mining queries.
What metrics are used to measure the performance of every kind of query?
Q4 “A major issue with single link algorithm is that cluster consisting of long
Chains may be created”. define and illustrate this concept.
Q5 (a) Name at lowest 6 characteristics or features of a data warehouse.
(b) How are the top-down and bottom-up approaches for building a data ware house
different? explain the merits and demerits of deach approach.
Q6 (a) elaborate the 3 major kinds of metadata in a data warehouse? Briefly mention
the purpose of every kind.
(b) Why 1 should consider that data warehouse is a collection of decision support
Technologies and aims at enabling the knowledge worker to make better and faster
Decision.
Q7 elaborate the social aspects of data mining which you consider are needed to be addressed
immediately and why? Also write elaborate the patterns in data mining and data ware
housing.
Q8 Write short notes on:-
(a) Data cleaning
(b) Data Integration and Transformation
(c) Data reduction
(d) Data Staging
(e) Data Mart

Earning:   Approval pending.