Domain-Driven, Actionable Knowledge Discovery
Year: 2007
Type: article
Source: IEEE Intelligent Systems
DOI: 10.1109/mis.2007.67
Institutions: University of Technology Sydney, Hong Kong University of Science and Technology, Queen's University Belfast, IBM Research - Thomas J. Watson Research Center, University of California, Riverside, Maebashi Institute of Technology, Institute for Infocomm Research, Monash University, Ernst & Young (United States), Australian Taxation Office
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: University of Warwick
OpenAlex ID: W1980375285
