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PROGRAM-M.Sc
IT
SEMESTER-IV
SUBJECT
CODE & NAME-mit401– Data Warehousing and Data Mining
CREDIT-4
BK
ID-B1633
MAX.
MARKS-60
Q1.
Differentiate between OLTP and Data Warehouses.
Answer:
Differentiate Data Warehouse database
and OLTP Databases:
2.
Explain the Data Warehouse Kimball life cycle. 10
Answer.
Data Warehouse Kimball life cycle
The Kimball Lifecycle
is a methodology for developing data warehouses, and has been developed over
many years by Ralph Kimball and a
3.
Describe about Hyper Cube and Multicube 5+5
Answer.
Hyper Cube and Multicube
Multidimensional
databases can present their data to an application using two types of cubes: hypercubes and multicubes.
4.
List and explain the Strategies for data reduction. 5*2
Answer.
Strategies for data reduction
Data reduction:
Obtain a reduced representation of the data set that is much smaller in volume
but yet produces the same (or
5.
Describe K-means method for clustering. List its advantages and drawbacks. 5+5
Answer.
K-means method for clustering
k-means clustering is
a method of vector quantization, originally from signal processing, that is
popular for cluster analysis in data
6.
Describe about Multilevel Databases and Web Query Systems 5+5
Answer.
Multilevel Databases and Web Query Systems
Multilevel
Databases
A multilevel database
system (MDBMS) supports the application of a multilevel policy for regulating
access to the database objects. In this approach at the bottom level database
the semi structured data is stored in web repositories as hyper text .The generalizations are extracted at the higher
level so as to organize in structured
collections as relational and
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