Title :
Data analysis in scientific databases
Author_Institution :
Sch. of Eng. & Comput. Sci., Oakland Univ., Rochester, MI, USA
Abstract :
Studies the integration of data with data analysis methods in the context of scientific databases. They author proposes a description of the analysis methods that makes them independent of the application domain (and thus reusable). This is complemented with a description that explicitly relates them to the application domain and assesses them within that context (and thus makes them easier to comprehend and use). This latter description is the focus of this work. The authors studies the nature of the information needed and proposes an outline procedure for deriving it
Keywords :
data analysis; database management systems; natural sciences computing; application-domain independent methods; comprehensibility; data analysis methods; ease of use; reusability; scientific databases; usability; Chemicals; Computer science; Data analysis; Data engineering; Data mining; Database systems; Encoding; Law; Legal factors; Mass spectroscopy;
Conference_Titel :
Tools with Artificial Intelligence, 1993. TAI '93. Proceedings., Fifth International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-8186-4200-9
DOI :
10.1109/TAI.1993.633993