Integrated Data Mining
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
The amount of electronically available data and information in business is growing in breathtaking speed. This is mainly caused by digitalization, automation, and integration of business processes. This flood of data gives a competitive advantage to those who can analyze and use it in a goal-oriented way. The usage of data can improve quality, efficiency, and can create completely new products and services.
Integrated Data Mining refers to the Fraunhofer IAIS approach of integrating knowledge discovery in business-critical data directly into the relevant business processes. Our research and development focus is on innovative systems that analyze data and uncover relevant information. Possible uses are in
- Fraud Detection
- Business monitoring
- Location planning
- Process optimiazation
... and many more.
Next to specialized data mining technology, Fraunhofer IAIS is making use of Grid and Cloud computing approaches and service-oriented architecture to allow for effective and efficient solutions for large, high-complexity data sources.
- Data Mining in business data
- Knowledge discovery for business planning, controlling, and marketing
- Distributed Data Mining
- Fraud Mining