Data Mining (3160714)

Study Material
3160714 - Data Mining

Study Material
Syllabus

Presentations

Unit-1 | Introduction to data mining (DM) Updated on 18-02-2021
Unit-2 | Data Pre-Processing Updated on 17-03-2021
Unit-3 | Concept Description, Mining Frequent Patterns, Associations and Correlations Updated on 21-05-2021
Unit-4 | Classification and Prediction Updated on 21-05-2021
Unit-5 | Cluster Analysis Updated on 21-05-2021
Unit-6 | Web mining and other data mining Updated on 21-05-2021

Teaching Scheme (in Hours)

Theory	Tutorial	Practical	Total
3	0	2	4

Subject Credit : 4

Examination Scheme (in Marks)

Theory ESE (E)	Theory PA (M)	Practical ESE Viva (V)	Practical PA (I)	Total
70	30	30	20	150

Syllabus Content

Unit-1: Introduction to data mining (DM)

Unit-2: Data Pre-processing

Unit-3: Concept Description, Mining Frequent Patterns, Associations and Correlations

Unit-4: Classification and Prediction

Unit-5: Cluster Analysis

Unit-6: Web mining and other data mining

Course Outcome

After learning the course the students should be able to:

Perform the preprocessing of data and apply mining techniques on it.
Identify the association rules, classification, and clusters in large data sets.
Solve real world problems in business and scientific information using data mining.
Use data analysis tools for scientific applications.
Implement various supervised machine learning algorithms.

Who we are?

Darshan University - having the foundation of its first Institution laid in 2009, and later on, established and consolidated under Gujarat Private Universities (Second Amendment) Act of 2021. It is one of the leading institutes within Saurashtra that offers Diploma, UG, PG and Doctoral Courses.