This course gives an introduction to methods and theory for development of data warehouses and data analysis using data mining. Data quality and methods and techniques for preprocessing of data. Modeling and design of data warehouses. Algorithms for classification, clustering and association rule analysis. Practical use of software for data analysis.
Be familiar with mathematical foundations of data mining tools.
Understand and implement classical models and algorithms in data warehouses and data mining.
Characterize the kinds of patterns that can be discovered by association rule mining, classification and clustering.
Master data mining techniques in various applications like social, scientific and environmental context.
Develop skill in selecting the appropriate data mining algorithm for solving practical problems.
Data Warehouse Fundamentals
Planning and Requirements
Data Warehouse Architecture
Extract, Transform and Load
Data Warehouse & OLAP
Meta data Management in Data Warehouse
Introduction to Data Mining
Data Mining Techniques
Applications of Data mining