Data Mining

Overview

The course explores the concepts and techniques of Data Mining, a promising and flourishing frontier in database systems. Data Mining is automated extraction of patterns representing knowledge implicitly stored in large databases, data warehouses, and other massive information repositories. The course covers data mining tasks like constructing Decision trees, finding Association rules, Classification and Clustering. The course is designed to provide students with a broad understanding in the design and use of data mining algorithms. The course also aims at providing a holistic view of data mining.

Navigation

• Prerequisites
• Textbooks
• Videos

Prerequisites

This course has no prerequisites.

Textbooks

Title	Author(s)	Edition
Introduction to Data Mining	Tan P. N., Steinbach M & Kumar V.	(2016)
Introduction to Data Mining : Instructor’s Solution Manual	Tan P. N., Steinbach M & Kumar V.	(2016)

Videos

• Data Mining, Well Academy
• Introduction to Data Mining, Data Science Dojo
• Hierarchical Agglomerative Clustering, Anuradha Bhatia