Development of a real-time data quality monitoring system using embedded intelligence

Autor:	T. Bethem, H. Vafaie, M. Evans, M. Shaughnessy
Rok vydání:	2005
Předmět:	Decision support system Engineering business.industry media_common.quotation_subject Embedded intelligence Field (computer science) Environmental data Data quality Quality (business) Case-based reasoning Real-time data Artificial intelligence Software engineering business media_common
Zdroj:	Oceans '02 MTS/IEEE.
DOI:	10.1109/oceans.2002.1191909
Popis:	Rule-based reasoning and case-based reasoning have emerged as two important and complimentary reasoning methodologies in the field of artificial intelligence (AI). This paper describes the development of a real-time data quality monitoring system (CORMS AI) using case-based and rule-based reasoning. CORMS AI was developed to augment an existing decision support system (CORMS Classic) for monitoring the quality of environmental data and information and their respective computer based systems for use in NOAA Ocean Service's oceanographic operational products.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dbd46b5db7f0fdfa85a534f7e1d096e1 https://doi.org/10.1109/oceans.2002.1191909 Zobrazit plný text záznamu