Improving Knowledge Discovery through the Integration of Data Mining Techniques

Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery.

Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

The many academic areas covered in this publication include, but are not limited to:

• Data Mining Techniques
• Data Warehousing Applications
• Exploratory Data Analysis
• Interactive Data Exploration/Visualization and Discovery
• Knowledge Discovery Framework and Process
• OLAP Tools
• Rough Computing