Inductive databases tightly integrate databases with data mining. The key ideas are that data and patterns (or models) are handled in the same way and that an inductive query lang...
This article summarizes research on several interrelated general issues that can arise in the design and development of user modeling systems: the learning and subsequent adaptati...
Thorsten Bohnenberger, Boris Brandherm, Barbara Gr...
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
: This study provides a conceptual framework with respect to service innovation, especially from a service-dominant logic (S-D logic) perspective. Even though innovation has been d...
Corporate information infrastructures are deployed to reduce risks of data fragmentation and misalignment between the computing resources and the business objectives. However, the...