Course Description

Data Warehouse:A data warehouse is a central repository of information that can be analyzed to make more informed decisions. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence. 

Data Mining:Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions. 

Course Prerequisites: Database Management System

Course Objectives: This course (18CS641) will enable students to: 

• To study the methodology of engineering legacy databases for data warehousing and data mining to derive business rules for decision support systems

• To analyze the data, identify the problems, and choose the relevant models and algorithms to apply

• Define Multi-dimensional data models.

• Explain rules related to association, classification and clustering analysis.

Course Outcomes: The student will be able to : 

• Understand the functionality of the various data mining and data warehousing component 

• Explain the concept of Data mining system and apply the various preprocessing techniques on large dataset.

• Apply Association rule mining, classification and clustering techniques to discover various mining patterns.