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04000CS402052001

How can we compute the dissimilarity between two binary objects?
Describe the following activities involved in the web usage mining.
i)Pre-processing activity ii) Pattern analysis activity
PART B

Answer any two full questions, each carries 9 marks.
Suppose a group of 15 sales price records has been given as follows:
5, 10, 11, 13, 15, 5,8,12,11,13,18,20,18,19,19
Draw a three bucket equi-width histogram.
Draw a three-bucket equi-depth histogram.
How numerosity reduction is done by MaxDiff histogram.
Suppose that a data warehouse for Big University consists of the following four
dimensions: student, course, semester, and instructor, and two measures count
and avg grade. When at the lowest conceptual level (e.g., for a given student,
course, semester, and instructor combination), the avg grade measure stores the
actual course grade of the student. At higher conceptual levels, avg grade stores
the average grade for the given combination.

Draw a snowflake schema diagram for the data warehouse.

Starting with the base cuboid [student, course, semester, instructor], what
specific OLAP operations (e.g., roll-up from semester to year) should one
perform in order to list the average grade of CS courses for each Big University
student.

A set of data is given: A= {115,233,484,543}. Normalize the data by Min-max
normalization (range: [0.0,1.0]).

Explain different OLAP operations on multi-dimensional data with suitable
examples.

A data warehouse can be modeled by either a star schema or a snowflake

schema. Describe the similarities and the differences of the two models.

PART ட்‌
Answer any two full questions, each carries 9 marks.

Why linear SVM is known as maximal margin classifier? Explain with suitable

figure.

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