Application of cenetic algorithm enabled data mining in information maturity: a framework

Inrormation maturity is achieved by research applications, value added applications and business decision applications. As the information maturily moves from data interpretation through infomation proccssing and towards knowledge generation, the irtilization of thc information space by any one application dccrcases. Some organi7ations look to their data warehousing operations as the center of their knowledge managcmcnt initialives. In this proposed paper, it has been tricd to achieve a framework wherein eflicient data mining can be done from a data warehouse through the application of genetic algorithms, coupled with knowledge management, so that any organization will be able to achieve an information inatiirity level.