Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
The operation of global manufacturing network is challenging due to the complexity in product and information flow, diversity in sites, localization and processes and the informati...
Over the last 25 years, methods for supervisory control of discrete event systems and methods for submodule construction based on state machine specifications have been developed ...
The detection of regulatory elements from a large set of regulatory regions is a challenging problem in computational genomics. However, computational methods to extract this biol...
Bertil Schmidt, Lin Feng, Amey V. Laud, Yusdi Sant...
Creating accurate models of information systems is an important but challenging task. It is generally well understood that such modeling encompasses general scientific issues, bu...
Ulrik Franke, Pontus Johnson, Robert Lagerströ...