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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 Explain the
Functionalities and advantages of Data Warehouses.
Answer:
Data
Warehousing
Data
warehouse is defined as "A subject-oriented, integrated, time-variant, and
nonvolatile collection of data in support of management's decision-making
process."
In
this definition the
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 variety of colleagues.
The Kimball
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 almost the same) analytical results.
Why data reduction? —
A database/data warehouse may store terabytes of data. Complex data analysis
may take a very long time to run on
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
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