| The project aims at new techniques that give decision-makers direct access to information stored in databases, data warehouses, and knowledge bases. The main goal is the integration of data and knowledge management. Discovery techniques produce knowledge from very large sets of distributed data. They exploit domain knowledge in order to deliver more concise and relevant insights. The main obstacle to achieve this goal is the problem of finding the proper representation for a discovery task. The project will develop new techniques that support user-guided representation adjustment as well as techniques that automatically select or change representations. Cases of successful uses of particular representations for certain discovery tasks are stored and provide users with an adaptive interface to information. An advanced data mining system, a case-base of typical discovery tasks, and new operators for preprocessing will be the project's results. | |
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